Upload folder using huggingface_hub

README.md

@@ -0,0 +1,78 @@
+---
+license: apache-2.0
+datasets:
+- snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset
+pipeline_tag: text-generation
+---
+
+### Dataset:
+Training dataset: [snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset](https://huggingface.co/datasets/snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset)
+
+We utilize ONLY the prompts from [UltraFeedback](https://huggingface.co/datasets/HuggingFaceH4/ultrafeedback_binarized); **no external LLM responses used**.
+
+### Methodology:
+  1. Generate five response variations for each prompt from a subset of 20,000 using the LLM - to start, we used [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).
+  2. Apply [PairRM](https://huggingface.co/llm-blender/PairRM) for response reranking.
+  3. Update the LLM by applying Direct Preference Optimization (DPO) on the top (chosen) and bottom (rejected) responses.
+  4. Use this LLM as the base model for the next iteration, repeating three times in total.
+ 
+This overview provides a high-level summary of our approach. 
+We plan to release more detailed results and findings in the coming weeks on the [Snorkel blog.](https://snorkel.ai/blog/)
+
+### Training recipe:
+- The provided data is formatted to be compatible with the Hugging Face's [Zephyr recipe](https://github.com/huggingface/alignment-handbook/tree/main/recipes/zephyr-7b-beta).
+We executed the n_th DPO iteration using the "train/test_iteration_{n}".
+
+### Key Premises:
+- **Specialization Requirement**: For most enterprise use cases, using LLMs "off-the-shelf" falls short of production quality, necessitating additional fine-tuning and alignment.
+- **Ease of Model Building**: Creating ranking/scoring/classification models is simpler than developing high-quality, manually annotated datasets for long-form responses.
+- **Alignment Recipe**: Using smaller but specialized teacher models (reward models) can incrementally align LLMs towards specific axes.
+
+### Applications:
+Unlike our customers, who have very specific use cases to align LLMs to,
+the AlpacaEval 2.0 leaderboard measures the ability of LLMS to follow user instructions.
+With this demonstration, we focus on the general approach to alignment. 
+Thus, we use a general-purpose reward model - the performant [PairRM model](https://huggingface.co/llm-blender/PairRM).
+We use the [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) model as our base LLM.
+
+For interest in building your **specialized internal reward models
+that reflect your enterprises' needs**, please contact the Snorkel AI team or consider attending our
+[**Enterprise LLM Summit: Building GenAI with Your Data on January 25, 2024**](https://snorkel.ai/event/enterprise-llm-summit/)
+to learn more about "Programmatically scaling human preferences and alignment in GenAI".
+
+### Result:
+On [**Alpaca-Eval 2.0**](https://tatsu-lab.github.io/alpaca_eval/):
+- The base model: [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) scored **14.72**.
+
+After applying the above methodology:
+- This model scored **30.22** - ranked 3rd and the highest for an open-source base model at the time of publication.
+- When post-processing the model outputs with PairRM-best-of-16, which involved generating 16 responses and selecting the highest-scoring response by PairRM, we scored **34.86** - ranked 2nd.
+The best model on the leaderboard is "gpt-4-turbo", which is also the judge of optimal responses.
+
+We recognize that the Alpaca-Eval 2.0 benchmark does not entirely capture the full range of capabilities and performances of LLMs.
+However, in our current work, where the goal is to align with general "human preferences," Alpaca-Eval 2.0 serves as a suitable and representative benchmark.
+Moving forward, we anticipate further contributions from the community regarding new alignment axes, and conduct evaluations using other appropriate benchmarks.
+
+The Alpaca-Eval 2.0 evaluator, "gpt-4-turbo," exhibits a bias towards longer responses. 
+This tendency might also be present in our chosen reward model, resulting in our model producing lengthier responses after DPO iterations,
+which can be among the factors to our higher ranks on the leaderboard.
+Future work could include measures to control response length and other relevant metrics.
+
+### Limitations:
+The model is a quick demonstration that the LLMs can be programmatically aligned using smaller specialized reward models. 
+It does not have any moderation mechanisms. 
+We look forward to continuing to engage with the research community and our customers exploring optimal methods for getting models to respect guardrails, 
+allowing for deployment in environments requiring moderated outputs.
+
+### Contemporary Work and Acknowledgements:
+- The Mistral AI Team for developing and releasing the advanced Mistral-7B-Instruct-v0.2 model.
+- The author of the [Direct Preference Optimization paper](https://arxiv.org/abs/2305.18290) for the innovative approach
+- The author of the [Pairwise Reward Model for LLMs paper](https://arxiv.org/abs/2306.02561) for the powerful general-purpose reward model
+- The HuggingFace team for the DPO implementation under [The Alignment Handbook](https://github.com/huggingface/alignment-handbook)
+- We would also like to acknowledge contemporary work published independently on arXiv on 2024-01-18 by Meta & NYU (Yuan, et al) in a paper called [Self-Rewarding Language Models](https://arxiv.org/abs/2401.10020), 
+which proposes a similar general approach for creating alignment pairs from a larger set of candidate responses, but using the LLM as the reward model.
+While this may work for general-purpose models, our experience has shown that task-specific reward models guided by SMEs are necessary for most 
+enterprise applications of LLMs for specific use cases, which is why we focus on the use of external reward models.
+
+### The Snorkel AI Team
+Hoang Tran, Chris Glaze, Braden Hancock

added_tokens.json

@@ -0,0 +1,5 @@
+{
+  "</s>": 2,
+  "<s>": 1,
+  "<unk>": 0
+}

all_results.json

@@ -0,0 +1,21 @@
+{
+    "epoch": 3.0,
+    "eval_logits/chosen": -2.10288143157959,
+    "eval_logits/rejected": -2.1299264430999756,
+    "eval_logps/chosen": -289.6983642578125,
+    "eval_logps/rejected": -310.9796142578125,
+    "eval_loss": 1.0245678424835205,
+    "eval_rewards/accuracies": 0.579365074634552,
+    "eval_rewards/chosen": -5.276275157928467,
+    "eval_rewards/margins": 0.5837584733963013,
+    "eval_rewards/rejected": -5.8600335121154785,
+    "eval_runtime": 135.2014,
+    "eval_samples": 1000,
+    "eval_samples_per_second": 7.396,
+    "eval_steps_per_second": 0.466,
+    "train_loss": 0.23198359412724215,
+    "train_runtime": 18849.1473,
+    "train_samples": 19958,
+    "train_samples_per_second": 3.176,
+    "train_steps_per_second": 0.05
+}

config.json

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "./models_dpo/snorkel_model_0117_20k_mistral_v02_llm_blender_v5",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.34.0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

eval_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 3.0,
+    "eval_logits/chosen": -2.10288143157959,
+    "eval_logits/rejected": -2.1299264430999756,
+    "eval_logps/chosen": -289.6983642578125,
+    "eval_logps/rejected": -310.9796142578125,
+    "eval_loss": 1.0245678424835205,
+    "eval_rewards/accuracies": 0.579365074634552,
+    "eval_rewards/chosen": -5.276275157928467,
+    "eval_rewards/margins": 0.5837584733963013,
+    "eval_rewards/rejected": -5.8600335121154785,
+    "eval_runtime": 135.2014,
+    "eval_samples": 1000,
+    "eval_samples_per_second": 7.396,
+    "eval_steps_per_second": 0.466
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.34.0"
+}

output.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:82e0a88b525615952fbe64edcba8314bdc5bfa97a38b725ea6eba3fee6f6803e
+size 7371402536

pytorch_model.bin.index.json

@@ -0,0 +1,298 @@
+{
+  "metadata": {
+    "total_size": 14483464192
+  },
+  "weight_map": {
+    "lm_head.weight": "pytorch_model-00002-of-00002.bin",
+    "model.embed_tokens.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.0.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.0.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.0.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.0.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.0.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.0.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.0.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.0.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.0.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.1.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.1.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.1.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.1.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.1.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.1.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.1.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.1.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.1.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.10.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.10.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.10.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.10.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.10.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.10.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.10.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.10.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.10.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.11.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.11.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.11.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.11.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.11.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.11.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.11.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.11.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.11.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.12.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.12.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.12.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.12.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.12.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.12.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.12.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.12.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.12.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.13.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.13.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.13.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.13.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.13.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.13.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.13.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.13.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.13.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.14.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.14.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.14.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.14.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.14.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.14.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.14.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.14.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.14.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.15.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.15.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.15.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.15.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.15.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.15.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.15.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.15.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.15.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.16.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.16.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.16.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.16.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.16.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.16.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.16.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.16.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.16.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.17.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.17.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.17.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.17.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.17.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.17.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.17.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.17.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.17.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.18.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.18.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.18.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.18.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.18.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.18.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.18.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.18.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.18.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.19.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.19.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.19.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.19.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.19.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.19.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.19.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.19.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.19.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.2.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.2.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.2.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.2.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.2.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.2.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.2.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.2.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.2.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.20.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.20.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.20.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.20.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.20.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.20.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.20.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.20.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.20.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.21.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.21.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.21.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.21.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.21.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.21.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.21.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.21.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.21.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.22.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.22.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.22.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.22.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.22.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.22.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.22.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.22.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.22.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.23.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.23.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.23.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.23.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.23.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.23.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.23.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.23.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.23.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.24.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.24.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.24.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.24.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.24.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.24.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.24.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.24.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.24.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.25.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.25.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.25.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.25.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.25.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.25.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.25.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.25.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.25.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.26.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.26.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.26.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.26.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.26.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.26.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.26.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.26.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.26.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.27.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.27.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.27.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.27.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.27.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.27.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.27.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.27.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.27.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.28.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.28.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.28.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.28.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.28.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.28.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.28.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.28.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.28.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.29.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.29.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.29.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.29.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.29.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.29.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.29.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.29.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.29.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.3.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.3.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.3.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.3.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.3.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.3.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.3.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.3.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.3.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.30.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.30.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.30.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.30.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.30.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.30.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.30.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.30.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.30.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.31.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.31.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.31.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.31.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.31.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.31.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.31.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.31.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.31.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
+    "model.layers.4.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.4.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.4.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.4.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.4.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.4.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.4.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.4.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.4.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.5.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.5.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.5.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.5.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.5.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.5.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.5.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.5.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.5.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.6.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.6.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.6.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.6.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.6.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.6.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.6.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.6.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.6.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.7.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.7.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.7.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.7.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.7.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.7.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.7.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.7.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.7.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.8.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.8.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.8.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.8.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.8.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.8.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.8.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.8.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.8.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.9.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.9.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.9.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.9.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.9.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.9.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.9.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.9.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.layers.9.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
+    "model.norm.weight": "pytorch_model-00002-of-00002.bin"
+  }
+}

special_tokens_map.json

@@ -0,0 +1,14 @@
+{
+  "additional_special_tokens": [
+    "<unk>",
+    "<s>",
+    "</s>"
+  ],
+  "bos_token": "<s>",
+  "cls_token": "[CLS]",
+  "eos_token": "</s>",
+  "mask_token": "[MASK]",
+  "pad_token": "</s>",
+  "sep_token": "[SEP]",
+  "unk_token": "<unk>"
+}

tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
+size 493443

tokenizer_config.json

@@ -0,0 +1,45 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<unk>",
+    "<s>",
+    "</s>"
+  ],
+  "bos_token": "<s>",
+  "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 2048,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "train_loss": 0.23198359412724215,
+    "train_runtime": 18849.1473,
+    "train_samples": 19958,
+    "train_samples_per_second": 3.176,
+    "train_steps_per_second": 0.05
+}

trainer_state.json

@@ -0,0 +1,1488 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.0,
+  "eval_steps": 100,
+  "global_step": 936,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0,
+      "learning_rate": 5.3191489361702125e-09,
+      "logits/chosen": -2.2888386249542236,
+      "logits/rejected": -2.347537040710449,
+      "logps/chosen": -240.19537353515625,
+      "logps/rejected": -224.4659423828125,
+      "loss": 0.6931,
+      "rewards/accuracies": 0.0,
+      "rewards/chosen": 0.0,
+      "rewards/margins": 0.0,
+      "rewards/rejected": 0.0,
+      "step": 1
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 5.3191489361702123e-08,
+      "logits/chosen": -2.2613658905029297,
+      "logits/rejected": -2.2750418186187744,
+      "logps/chosen": -243.42933654785156,
+      "logps/rejected": -246.80438232421875,
+      "loss": 0.6983,
+      "rewards/accuracies": 0.4444444477558136,
+      "rewards/chosen": -0.004907915368676186,
+      "rewards/margins": -0.0037050736136734486,
+      "rewards/rejected": -0.0012028426863253117,
+      "step": 10
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.0638297872340425e-07,
+      "logits/chosen": -2.207406997680664,
+      "logits/rejected": -2.1862308979034424,
+      "logps/chosen": -252.49658203125,
+      "logps/rejected": -264.63861083984375,
+      "loss": 0.6883,
+      "rewards/accuracies": 0.606249988079071,
+      "rewards/chosen": -0.01405362505465746,
+      "rewards/margins": 0.04791956767439842,
+      "rewards/rejected": -0.06197319179773331,
+      "step": 20
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.5957446808510638e-07,
+      "logits/chosen": -2.1290104389190674,
+      "logits/rejected": -2.124718189239502,
+      "logps/chosen": -265.79962158203125,
+      "logps/rejected": -293.8382263183594,
+      "loss": 0.6817,
+      "rewards/accuracies": 0.581250011920929,
+      "rewards/chosen": -0.23290427029132843,
+      "rewards/margins": 0.05236431211233139,
+      "rewards/rejected": -0.2852686047554016,
+      "step": 30
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 2.127659574468085e-07,
+      "logits/chosen": -2.1210882663726807,
+      "logits/rejected": -2.1071760654449463,
+      "logps/chosen": -239.9654083251953,
+      "logps/rejected": -246.32162475585938,
+      "loss": 0.6723,
+      "rewards/accuracies": 0.5874999761581421,
+      "rewards/chosen": -0.28943145275115967,
+      "rewards/margins": 0.12118977308273315,
+      "rewards/rejected": -0.4106212556362152,
+      "step": 40
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 2.659574468085106e-07,
+      "logits/chosen": -2.151090145111084,
+      "logits/rejected": -2.1575913429260254,
+      "logps/chosen": -243.2239990234375,
+      "logps/rejected": -283.3126220703125,
+      "loss": 0.6911,
+      "rewards/accuracies": 0.512499988079071,
+      "rewards/chosen": -0.30816999077796936,
+      "rewards/margins": 0.1214941143989563,
+      "rewards/rejected": -0.42966407537460327,
+      "step": 50
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 3.1914893617021275e-07,
+      "logits/chosen": -2.2355575561523438,
+      "logits/rejected": -2.241624355316162,
+      "logps/chosen": -225.8336181640625,
+      "logps/rejected": -239.73583984375,
+      "loss": 0.641,
+      "rewards/accuracies": 0.512499988079071,
+      "rewards/chosen": -0.4416503310203552,
+      "rewards/margins": 0.24247512221336365,
+      "rewards/rejected": -0.684125542640686,
+      "step": 60
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 3.7234042553191484e-07,
+      "logits/chosen": -2.284141778945923,
+      "logits/rejected": -2.271517515182495,
+      "logps/chosen": -247.878173828125,
+      "logps/rejected": -271.75543212890625,
+      "loss": 0.6634,
+      "rewards/accuracies": 0.5687500238418579,
+      "rewards/chosen": -0.4251589775085449,
+      "rewards/margins": 0.20249144732952118,
+      "rewards/rejected": -0.6276503801345825,
+      "step": 70
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 4.25531914893617e-07,
+      "logits/chosen": -2.1530141830444336,
+      "logits/rejected": -2.1263160705566406,
+      "logps/chosen": -250.94882202148438,
+      "logps/rejected": -283.70452880859375,
+      "loss": 0.7221,
+      "rewards/accuracies": 0.606249988079071,
+      "rewards/chosen": -0.5067945122718811,
+      "rewards/margins": 0.3924552798271179,
+      "rewards/rejected": -0.8992497324943542,
+      "step": 80
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 4.787234042553192e-07,
+      "logits/chosen": -2.2971713542938232,
+      "logits/rejected": -2.2914767265319824,
+      "logps/chosen": -239.848388671875,
+      "logps/rejected": -261.0388488769531,
+      "loss": 0.6921,
+      "rewards/accuracies": 0.59375,
+      "rewards/chosen": -0.36695146560668945,
+      "rewards/margins": 0.7086008787155151,
+      "rewards/rejected": -1.0755524635314941,
+      "step": 90
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 4.96437054631829e-07,
+      "logits/chosen": -2.2555811405181885,
+      "logits/rejected": -2.25207781791687,
+      "logps/chosen": -267.49615478515625,
+      "logps/rejected": -275.76678466796875,
+      "loss": 0.6493,
+      "rewards/accuracies": 0.625,
+      "rewards/chosen": -0.6560766100883484,
+      "rewards/margins": 0.7053524851799011,
+      "rewards/rejected": -1.361429214477539,
+      "step": 100
+    },
+    {
+      "epoch": 0.32,
+      "eval_logits/chosen": -2.28631591796875,
+      "eval_logits/rejected": -2.316732883453369,
+      "eval_logps/chosen": -247.2499237060547,
+      "eval_logps/rejected": -264.13714599609375,
+      "eval_loss": 0.7535801529884338,
+      "eval_rewards/accuracies": 0.5277777910232544,
+      "eval_rewards/chosen": -1.031434416770935,
+      "eval_rewards/margins": 0.1443558931350708,
+      "eval_rewards/rejected": -1.1757903099060059,
+      "eval_runtime": 136.5011,
+      "eval_samples_per_second": 7.326,
+      "eval_steps_per_second": 0.462,
+      "step": 100
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 4.904988123515439e-07,
+      "logits/chosen": -2.3735289573669434,
+      "logits/rejected": -2.3574609756469727,
+      "logps/chosen": -258.567138671875,
+      "logps/rejected": -265.116943359375,
+      "loss": 0.7214,
+      "rewards/accuracies": 0.5062500238418579,
+      "rewards/chosen": -0.645125687122345,
+      "rewards/margins": 0.558975338935852,
+      "rewards/rejected": -1.2041009664535522,
+      "step": 110
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 4.845605700712589e-07,
+      "logits/chosen": -2.2169833183288574,
+      "logits/rejected": -2.2219901084899902,
+      "logps/chosen": -236.5016632080078,
+      "logps/rejected": -263.465576171875,
+      "loss": 0.7608,
+      "rewards/accuracies": 0.59375,
+      "rewards/chosen": -0.8542020916938782,
+      "rewards/margins": 0.4452931880950928,
+      "rewards/rejected": -1.2994953393936157,
+      "step": 120
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 4.786223277909738e-07,
+      "logits/chosen": -2.2680552005767822,
+      "logits/rejected": -2.2671051025390625,
+      "logps/chosen": -265.2757568359375,
+      "logps/rejected": -281.46087646484375,
+      "loss": 0.6982,
+      "rewards/accuracies": 0.5874999761581421,
+      "rewards/chosen": -0.42591819167137146,
+      "rewards/margins": 1.4877907037734985,
+      "rewards/rejected": -1.9137089252471924,
+      "step": 130
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 4.7268408551068883e-07,
+      "logits/chosen": -2.3235602378845215,
+      "logits/rejected": -2.331632614135742,
+      "logps/chosen": -277.58642578125,
+      "logps/rejected": -309.63006591796875,
+      "loss": 0.6538,
+      "rewards/accuracies": 0.6312500238418579,
+      "rewards/chosen": -1.0361998081207275,
+      "rewards/margins": 1.2754342555999756,
+      "rewards/rejected": -2.311634063720703,
+      "step": 140
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 4.667458432304038e-07,
+      "logits/chosen": -2.242255449295044,
+      "logits/rejected": -2.247087001800537,
+      "logps/chosen": -279.643310546875,
+      "logps/rejected": -306.5362243652344,
+      "loss": 0.7123,
+      "rewards/accuracies": 0.5375000238418579,
+      "rewards/chosen": -1.3043805360794067,
+      "rewards/margins": 1.866286039352417,
+      "rewards/rejected": -3.1706669330596924,
+      "step": 150
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 4.6080760095011875e-07,
+      "logits/chosen": -2.4138083457946777,
+      "logits/rejected": -2.403261661529541,
+      "logps/chosen": -267.54046630859375,
+      "logps/rejected": -311.9237060546875,
+      "loss": 0.7048,
+      "rewards/accuracies": 0.6625000238418579,
+      "rewards/chosen": -0.7491146326065063,
+      "rewards/margins": 1.4739110469818115,
+      "rewards/rejected": -2.2230257987976074,
+      "step": 160
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 4.548693586698337e-07,
+      "logits/chosen": -2.394935131072998,
+      "logits/rejected": -2.387144088745117,
+      "logps/chosen": -238.01992797851562,
+      "logps/rejected": -249.9500274658203,
+      "loss": 0.6621,
+      "rewards/accuracies": 0.5874999761581421,
+      "rewards/chosen": -0.7305070161819458,
+      "rewards/margins": 1.7976157665252686,
+      "rewards/rejected": -2.528122663497925,
+      "step": 170
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 4.4893111638954866e-07,
+      "logits/chosen": -2.358888626098633,
+      "logits/rejected": -2.3674557209014893,
+      "logps/chosen": -257.3042907714844,
+      "logps/rejected": -276.6517028808594,
+      "loss": 0.7177,
+      "rewards/accuracies": 0.675000011920929,
+      "rewards/chosen": -1.2033367156982422,
+      "rewards/margins": 1.2791545391082764,
+      "rewards/rejected": -2.4824917316436768,
+      "step": 180
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 4.429928741092636e-07,
+      "logits/chosen": -2.336920738220215,
+      "logits/rejected": -2.31685733795166,
+      "logps/chosen": -249.4643096923828,
+      "logps/rejected": -282.7246398925781,
+      "loss": 0.7693,
+      "rewards/accuracies": 0.5062500238418579,
+      "rewards/chosen": -0.9033983945846558,
+      "rewards/margins": 1.6113331317901611,
+      "rewards/rejected": -2.5147316455841064,
+      "step": 190
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 4.3705463182897863e-07,
+      "logits/chosen": -2.2998836040496826,
+      "logits/rejected": -2.2824947834014893,
+      "logps/chosen": -255.98239135742188,
+      "logps/rejected": -282.6729431152344,
+      "loss": 0.6555,
+      "rewards/accuracies": 0.6499999761581421,
+      "rewards/chosen": -0.7247324585914612,
+      "rewards/margins": 2.3264706134796143,
+      "rewards/rejected": -3.0512032508850098,
+      "step": 200
+    },
+    {
+      "epoch": 0.64,
+      "eval_logits/chosen": -2.227078676223755,
+      "eval_logits/rejected": -2.2540831565856934,
+      "eval_logps/chosen": -251.6654815673828,
+      "eval_logps/rejected": -268.0155029296875,
+      "eval_loss": 0.8345099091529846,
+      "eval_rewards/accuracies": 0.5595238208770752,
+      "eval_rewards/chosen": -1.472989559173584,
+      "eval_rewards/margins": 0.09063953906297684,
+      "eval_rewards/rejected": -1.563629150390625,
+      "eval_runtime": 135.0454,
+      "eval_samples_per_second": 7.405,
+      "eval_steps_per_second": 0.467,
+      "step": 200
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 4.311163895486936e-07,
+      "logits/chosen": -2.1886990070343018,
+      "logits/rejected": -2.2061002254486084,
+      "logps/chosen": -272.6381530761719,
+      "logps/rejected": -307.3228759765625,
+      "loss": 0.6607,
+      "rewards/accuracies": 0.612500011920929,
+      "rewards/chosen": -0.7392950057983398,
+      "rewards/margins": 2.356786012649536,
+      "rewards/rejected": -3.096081018447876,
+      "step": 210
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.251781472684085e-07,
+      "logits/chosen": -2.3205573558807373,
+      "logits/rejected": -2.3125534057617188,
+      "logps/chosen": -208.845458984375,
+      "logps/rejected": -231.4398651123047,
+      "loss": 0.6198,
+      "rewards/accuracies": 0.699999988079071,
+      "rewards/chosen": -0.921154797077179,
+      "rewards/margins": 1.9245474338531494,
+      "rewards/rejected": -2.8457021713256836,
+      "step": 220
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 4.192399049881235e-07,
+      "logits/chosen": -2.2658634185791016,
+      "logits/rejected": -2.2645907402038574,
+      "logps/chosen": -258.8167419433594,
+      "logps/rejected": -303.98541259765625,
+      "loss": 0.6653,
+      "rewards/accuracies": 0.637499988079071,
+      "rewards/chosen": -1.0780036449432373,
+      "rewards/margins": 2.2675023078918457,
+      "rewards/rejected": -3.345506191253662,
+      "step": 230
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 4.1330166270783846e-07,
+      "logits/chosen": -2.259265184402466,
+      "logits/rejected": -2.259178638458252,
+      "logps/chosen": -265.008544921875,
+      "logps/rejected": -283.46844482421875,
+      "loss": 0.6808,
+      "rewards/accuracies": 0.6187499761581421,
+      "rewards/chosen": -1.058840036392212,
+      "rewards/margins": 1.759861946105957,
+      "rewards/rejected": -2.818701982498169,
+      "step": 240
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 4.0736342042755347e-07,
+      "logits/chosen": -2.264968156814575,
+      "logits/rejected": -2.2467730045318604,
+      "logps/chosen": -245.5597686767578,
+      "logps/rejected": -282.61566162109375,
+      "loss": 0.6574,
+      "rewards/accuracies": 0.6937500238418579,
+      "rewards/chosen": -0.6839832067489624,
+      "rewards/margins": 2.1135334968566895,
+      "rewards/rejected": -2.7975165843963623,
+      "step": 250
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 4.0142517814726837e-07,
+      "logits/chosen": -2.2550175189971924,
+      "logits/rejected": -2.2587451934814453,
+      "logps/chosen": -264.4140319824219,
+      "logps/rejected": -313.1862487792969,
+      "loss": 0.6417,
+      "rewards/accuracies": 0.637499988079071,
+      "rewards/chosen": -1.2853078842163086,
+      "rewards/margins": 1.7770347595214844,
+      "rewards/rejected": -3.062342882156372,
+      "step": 260
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 3.9548693586698333e-07,
+      "logits/chosen": -2.30830454826355,
+      "logits/rejected": -2.3013198375701904,
+      "logps/chosen": -253.91281127929688,
+      "logps/rejected": -266.73382568359375,
+      "loss": 0.6325,
+      "rewards/accuracies": 0.71875,
+      "rewards/chosen": -0.6817399859428406,
+      "rewards/margins": 2.7105841636657715,
+      "rewards/rejected": -3.3923239707946777,
+      "step": 270
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 3.8954869358669834e-07,
+      "logits/chosen": -2.331390142440796,
+      "logits/rejected": -2.336571216583252,
+      "logps/chosen": -247.58544921875,
+      "logps/rejected": -284.62884521484375,
+      "loss": 0.6308,
+      "rewards/accuracies": 0.699999988079071,
+      "rewards/chosen": -0.9239405393600464,
+      "rewards/margins": 2.58821439743042,
+      "rewards/rejected": -3.512155532836914,
+      "step": 280
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 3.836104513064133e-07,
+      "logits/chosen": -2.3030402660369873,
+      "logits/rejected": -2.290931224822998,
+      "logps/chosen": -264.10296630859375,
+      "logps/rejected": -310.730224609375,
+      "loss": 0.6456,
+      "rewards/accuracies": 0.643750011920929,
+      "rewards/chosen": -1.4110323190689087,
+      "rewards/margins": 1.8175039291381836,
+      "rewards/rejected": -3.2285361289978027,
+      "step": 290
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 3.7767220902612825e-07,
+      "logits/chosen": -2.3290443420410156,
+      "logits/rejected": -2.3188068866729736,
+      "logps/chosen": -251.7384490966797,
+      "logps/rejected": -287.4365234375,
+      "loss": 0.6566,
+      "rewards/accuracies": 0.6812499761581421,
+      "rewards/chosen": -1.2217800617218018,
+      "rewards/margins": 2.0904905796051025,
+      "rewards/rejected": -3.312270402908325,
+      "step": 300
+    },
+    {
+      "epoch": 0.96,
+      "eval_logits/chosen": -2.352015733718872,
+      "eval_logits/rejected": -2.3778603076934814,
+      "eval_logps/chosen": -256.6260070800781,
+      "eval_logps/rejected": -273.6545715332031,
+      "eval_loss": 0.8076202869415283,
+      "eval_rewards/accuracies": 0.5555555820465088,
+      "eval_rewards/chosen": -1.9690420627593994,
+      "eval_rewards/margins": 0.15849098563194275,
+      "eval_rewards/rejected": -2.127532958984375,
+      "eval_runtime": 135.1507,
+      "eval_samples_per_second": 7.399,
+      "eval_steps_per_second": 0.466,
+      "step": 300
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.717339667458432e-07,
+      "logits/chosen": -2.228579044342041,
+      "logits/rejected": -2.2486958503723145,
+      "logps/chosen": -269.064208984375,
+      "logps/rejected": -314.79510498046875,
+      "loss": 0.5843,
+      "rewards/accuracies": 0.7562500238418579,
+      "rewards/chosen": -0.7734891772270203,
+      "rewards/margins": 3.1552462577819824,
+      "rewards/rejected": -3.9287352561950684,
+      "step": 310
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 3.6579572446555817e-07,
+      "logits/chosen": -2.2717132568359375,
+      "logits/rejected": -2.2769129276275635,
+      "logps/chosen": -257.6423645019531,
+      "logps/rejected": -314.797119140625,
+      "loss": 0.3177,
+      "rewards/accuracies": 0.8812500238418579,
+      "rewards/chosen": -0.4064851403236389,
+      "rewards/margins": 4.01033878326416,
+      "rewards/rejected": -4.416823863983154,
+      "step": 320
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 3.598574821852731e-07,
+      "logits/chosen": -2.247117280960083,
+      "logits/rejected": -2.250030040740967,
+      "logps/chosen": -235.4261016845703,
+      "logps/rejected": -309.361572265625,
+      "loss": 0.0693,
+      "rewards/accuracies": 0.981249988079071,
+      "rewards/chosen": 0.2905876338481903,
+      "rewards/margins": 6.00634765625,
+      "rewards/rejected": -5.715760231018066,
+      "step": 330
+    },
+    {
+      "epoch": 1.09,
+      "learning_rate": 3.5391923990498813e-07,
+      "logits/chosen": -2.182969570159912,
+      "logits/rejected": -2.16931414604187,
+      "logps/chosen": -255.9242706298828,
+      "logps/rejected": -364.0120544433594,
+      "loss": 0.0276,
+      "rewards/accuracies": 0.9937499761581421,
+      "rewards/chosen": 0.9283174276351929,
+      "rewards/margins": 8.556694030761719,
+      "rewards/rejected": -7.628376007080078,
+      "step": 340
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 3.479809976247031e-07,
+      "logits/chosen": -2.167675495147705,
+      "logits/rejected": -2.157602071762085,
+      "logps/chosen": -235.40853881835938,
+      "logps/rejected": -346.43328857421875,
+      "loss": 0.0182,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.6523984670639038,
+      "rewards/margins": 9.692710876464844,
+      "rewards/rejected": -8.040311813354492,
+      "step": 350
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 3.42042755344418e-07,
+      "logits/chosen": -2.1937975883483887,
+      "logits/rejected": -2.2003121376037598,
+      "logps/chosen": -211.8225555419922,
+      "logps/rejected": -345.91094970703125,
+      "loss": 0.0124,
+      "rewards/accuracies": 0.9937499761581421,
+      "rewards/chosen": 2.343766927719116,
+      "rewards/margins": 12.03510570526123,
+      "rewards/rejected": -9.691339492797852,
+      "step": 360
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 3.36104513064133e-07,
+      "logits/chosen": -2.2343811988830566,
+      "logits/rejected": -2.242821216583252,
+      "logps/chosen": -194.0260772705078,
+      "logps/rejected": -351.4122009277344,
+      "loss": 0.0116,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 2.336714267730713,
+      "rewards/margins": 12.730189323425293,
+      "rewards/rejected": -10.393475532531738,
+      "step": 370
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 3.3016627078384796e-07,
+      "logits/chosen": -2.2088000774383545,
+      "logits/rejected": -2.2172210216522217,
+      "logps/chosen": -214.9263153076172,
+      "logps/rejected": -374.9606018066406,
+      "loss": 0.0099,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 2.942856788635254,
+      "rewards/margins": 14.011993408203125,
+      "rewards/rejected": -11.069137573242188,
+      "step": 380
+    },
+    {
+      "epoch": 1.25,
+      "learning_rate": 3.2422802850356297e-07,
+      "logits/chosen": -2.129809856414795,
+      "logits/rejected": -2.1051840782165527,
+      "logps/chosen": -223.37490844726562,
+      "logps/rejected": -409.17919921875,
+      "loss": 0.0104,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 3.214216709136963,
+      "rewards/margins": 16.285297393798828,
+      "rewards/rejected": -13.071080207824707,
+      "step": 390
+    },
+    {
+      "epoch": 1.28,
+      "learning_rate": 3.182897862232779e-07,
+      "logits/chosen": -2.1976237297058105,
+      "logits/rejected": -2.194974422454834,
+      "logps/chosen": -197.03897094726562,
+      "logps/rejected": -380.13031005859375,
+      "loss": 0.0057,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 2.860673427581787,
+      "rewards/margins": 16.22535514831543,
+      "rewards/rejected": -13.364683151245117,
+      "step": 400
+    },
+    {
+      "epoch": 1.28,
+      "eval_logits/chosen": -2.170393705368042,
+      "eval_logits/rejected": -2.197235345840454,
+      "eval_logps/chosen": -270.4623718261719,
+      "eval_logps/rejected": -289.9275207519531,
+      "eval_loss": 0.8791230320930481,
+      "eval_rewards/accuracies": 0.5634920597076416,
+      "eval_rewards/chosen": -3.3526790142059326,
+      "eval_rewards/margins": 0.4021467864513397,
+      "eval_rewards/rejected": -3.7548255920410156,
+      "eval_runtime": 135.1943,
+      "eval_samples_per_second": 7.397,
+      "eval_steps_per_second": 0.466,
+      "step": 400
+    },
+    {
+      "epoch": 1.31,
+      "learning_rate": 3.1235154394299283e-07,
+      "logits/chosen": -2.1489205360412598,
+      "logits/rejected": -2.1540191173553467,
+      "logps/chosen": -219.0214385986328,
+      "logps/rejected": -397.30364990234375,
+      "loss": 0.0043,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 3.2062506675720215,
+      "rewards/margins": 16.805278778076172,
+      "rewards/rejected": -13.599026679992676,
+      "step": 410
+    },
+    {
+      "epoch": 1.35,
+      "learning_rate": 3.0641330166270784e-07,
+      "logits/chosen": -2.115307092666626,
+      "logits/rejected": -2.0995349884033203,
+      "logps/chosen": -234.65438842773438,
+      "logps/rejected": -407.8638000488281,
+      "loss": 0.0098,
+      "rewards/accuracies": 0.9937499761581421,
+      "rewards/chosen": 2.6958987712860107,
+      "rewards/margins": 17.416133880615234,
+      "rewards/rejected": -14.720235824584961,
+      "step": 420
+    },
+    {
+      "epoch": 1.38,
+      "learning_rate": 3.004750593824228e-07,
+      "logits/chosen": -2.134051561355591,
+      "logits/rejected": -2.148725986480713,
+      "logps/chosen": -195.26100158691406,
+      "logps/rejected": -378.8183898925781,
+      "loss": 0.0072,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 2.5557029247283936,
+      "rewards/margins": 17.337064743041992,
+      "rewards/rejected": -14.781362533569336,
+      "step": 430
+    },
+    {
+      "epoch": 1.41,
+      "learning_rate": 2.9453681710213776e-07,
+      "logits/chosen": -2.1074020862579346,
+      "logits/rejected": -2.1130149364471436,
+      "logps/chosen": -247.6088104248047,
+      "logps/rejected": -419.13232421875,
+      "loss": 0.0058,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 2.3471179008483887,
+      "rewards/margins": 16.78860855102539,
+      "rewards/rejected": -14.441492080688477,
+      "step": 440
+    },
+    {
+      "epoch": 1.44,
+      "learning_rate": 2.885985748218527e-07,
+      "logits/chosen": -2.1506831645965576,
+      "logits/rejected": -2.1653859615325928,
+      "logps/chosen": -245.6567840576172,
+      "logps/rejected": -420.876220703125,
+      "loss": 0.0079,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 2.4259517192840576,
+      "rewards/margins": 16.992084503173828,
+      "rewards/rejected": -14.566131591796875,
+      "step": 450
+    },
+    {
+      "epoch": 1.47,
+      "learning_rate": 2.8266033254156767e-07,
+      "logits/chosen": -2.109947443008423,
+      "logits/rejected": -2.1249232292175293,
+      "logps/chosen": -241.10916137695312,
+      "logps/rejected": -439.56781005859375,
+      "loss": 0.0051,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 2.2505855560302734,
+      "rewards/margins": 16.7042179107666,
+      "rewards/rejected": -14.453630447387695,
+      "step": 460
+    },
+    {
+      "epoch": 1.51,
+      "learning_rate": 2.7672209026128263e-07,
+      "logits/chosen": -2.1982929706573486,
+      "logits/rejected": -2.1973724365234375,
+      "logps/chosen": -238.69497680664062,
+      "logps/rejected": -403.54791259765625,
+      "loss": 0.0144,
+      "rewards/accuracies": 0.987500011920929,
+      "rewards/chosen": 1.3100935220718384,
+      "rewards/margins": 14.033093452453613,
+      "rewards/rejected": -12.723000526428223,
+      "step": 470
+    },
+    {
+      "epoch": 1.54,
+      "learning_rate": 2.7078384798099764e-07,
+      "logits/chosen": -2.1538589000701904,
+      "logits/rejected": -2.1524319648742676,
+      "logps/chosen": -219.76461791992188,
+      "logps/rejected": -362.3617248535156,
+      "loss": 0.0089,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 2.142836093902588,
+      "rewards/margins": 14.598767280578613,
+      "rewards/rejected": -12.45592975616455,
+      "step": 480
+    },
+    {
+      "epoch": 1.57,
+      "learning_rate": 2.648456057007126e-07,
+      "logits/chosen": -2.270354747772217,
+      "logits/rejected": -2.285727024078369,
+      "logps/chosen": -213.4247283935547,
+      "logps/rejected": -350.7535400390625,
+      "loss": 0.009,
+      "rewards/accuracies": 0.9937499761581421,
+      "rewards/chosen": 2.24265456199646,
+      "rewards/margins": 13.511209487915039,
+      "rewards/rejected": -11.268553733825684,
+      "step": 490
+    },
+    {
+      "epoch": 1.6,
+      "learning_rate": 2.589073634204275e-07,
+      "logits/chosen": -2.189033031463623,
+      "logits/rejected": -2.1983439922332764,
+      "logps/chosen": -226.820556640625,
+      "logps/rejected": -391.2894592285156,
+      "loss": 0.0063,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 2.644188642501831,
+      "rewards/margins": 15.23480224609375,
+      "rewards/rejected": -12.59061336517334,
+      "step": 500
+    },
+    {
+      "epoch": 1.6,
+      "eval_logits/chosen": -2.2120492458343506,
+      "eval_logits/rejected": -2.239100217819214,
+      "eval_logps/chosen": -266.6351318359375,
+      "eval_logps/rejected": -285.4739074707031,
+      "eval_loss": 0.8692338466644287,
+      "eval_rewards/accuracies": 0.567460298538208,
+      "eval_rewards/chosen": -2.969956398010254,
+      "eval_rewards/margins": 0.3395082652568817,
+      "eval_rewards/rejected": -3.309464693069458,
+      "eval_runtime": 135.0534,
+      "eval_samples_per_second": 7.404,
+      "eval_steps_per_second": 0.466,
+      "step": 500
+    },
+    {
+      "epoch": 1.63,
+      "learning_rate": 2.529691211401425e-07,
+      "logits/chosen": -2.2285079956054688,
+      "logits/rejected": -2.2011256217956543,
+      "logps/chosen": -215.3155059814453,
+      "logps/rejected": -366.4723205566406,
+      "loss": 0.0093,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 2.619319438934326,
+      "rewards/margins": 14.285768508911133,
+      "rewards/rejected": -11.666448593139648,
+      "step": 510
+    },
+    {
+      "epoch": 1.67,
+      "learning_rate": 2.4703087885985747e-07,
+      "logits/chosen": -2.180443525314331,
+      "logits/rejected": -2.196728467941284,
+      "logps/chosen": -226.239013671875,
+      "logps/rejected": -395.51397705078125,
+      "loss": 0.0083,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 2.7000768184661865,
+      "rewards/margins": 15.548223495483398,
+      "rewards/rejected": -12.84814739227295,
+      "step": 520
+    },
+    {
+      "epoch": 1.7,
+      "learning_rate": 2.410926365795724e-07,
+      "logits/chosen": -2.1908416748046875,
+      "logits/rejected": -2.1960384845733643,
+      "logps/chosen": -209.208984375,
+      "logps/rejected": -333.3621520996094,
+      "loss": 0.0081,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.2140251398086548,
+      "rewards/margins": 11.866113662719727,
+      "rewards/rejected": -10.652088165283203,
+      "step": 530
+    },
+    {
+      "epoch": 1.73,
+      "learning_rate": 2.351543942992874e-07,
+      "logits/chosen": -2.1653943061828613,
+      "logits/rejected": -2.171555995941162,
+      "logps/chosen": -209.2273712158203,
+      "logps/rejected": -370.8827819824219,
+      "loss": 0.0056,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.8547580242156982,
+      "rewards/margins": 14.104257583618164,
+      "rewards/rejected": -12.24949836730957,
+      "step": 540
+    },
+    {
+      "epoch": 1.76,
+      "learning_rate": 2.2921615201900234e-07,
+      "logits/chosen": -2.179865837097168,
+      "logits/rejected": -2.187969446182251,
+      "logps/chosen": -248.9722137451172,
+      "logps/rejected": -397.516357421875,
+      "loss": 0.011,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 2.0791749954223633,
+      "rewards/margins": 15.069662094116211,
+      "rewards/rejected": -12.99048900604248,
+      "step": 550
+    },
+    {
+      "epoch": 1.79,
+      "learning_rate": 2.2327790973871732e-07,
+      "logits/chosen": -2.2084298133850098,
+      "logits/rejected": -2.196798801422119,
+      "logps/chosen": -216.34432983398438,
+      "logps/rejected": -364.7033386230469,
+      "loss": 0.0114,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.6750681400299072,
+      "rewards/margins": 12.608332633972168,
+      "rewards/rejected": -10.933263778686523,
+      "step": 560
+    },
+    {
+      "epoch": 1.83,
+      "learning_rate": 2.173396674584323e-07,
+      "logits/chosen": -2.1891276836395264,
+      "logits/rejected": -2.2081406116485596,
+      "logps/chosen": -233.3393096923828,
+      "logps/rejected": -390.85699462890625,
+      "loss": 0.0068,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.547383189201355,
+      "rewards/margins": 13.556729316711426,
+      "rewards/rejected": -12.009345054626465,
+      "step": 570
+    },
+    {
+      "epoch": 1.86,
+      "learning_rate": 2.1140142517814726e-07,
+      "logits/chosen": -2.184476375579834,
+      "logits/rejected": -2.1820874214172363,
+      "logps/chosen": -235.4527130126953,
+      "logps/rejected": -346.69952392578125,
+      "loss": 0.0142,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.5227887630462646,
+      "rewards/margins": 11.664176940917969,
+      "rewards/rejected": -10.141386032104492,
+      "step": 580
+    },
+    {
+      "epoch": 1.89,
+      "learning_rate": 2.0546318289786222e-07,
+      "logits/chosen": -2.1869351863861084,
+      "logits/rejected": -2.1961607933044434,
+      "logps/chosen": -219.57962036132812,
+      "logps/rejected": -345.61663818359375,
+      "loss": 0.0171,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 2.060570478439331,
+      "rewards/margins": 12.773801803588867,
+      "rewards/rejected": -10.71323013305664,
+      "step": 590
+    },
+    {
+      "epoch": 1.92,
+      "learning_rate": 1.9952494061757718e-07,
+      "logits/chosen": -2.1666817665100098,
+      "logits/rejected": -2.162493944168091,
+      "logps/chosen": -220.46829223632812,
+      "logps/rejected": -381.7313537597656,
+      "loss": 0.0164,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.8761663436889648,
+      "rewards/margins": 12.851763725280762,
+      "rewards/rejected": -10.97559642791748,
+      "step": 600
+    },
+    {
+      "epoch": 1.92,
+      "eval_logits/chosen": -2.16733717918396,
+      "eval_logits/rejected": -2.193927526473999,
+      "eval_logps/chosen": -270.457275390625,
+      "eval_logps/rejected": -290.05157470703125,
+      "eval_loss": 0.8890212774276733,
+      "eval_rewards/accuracies": 0.5873016119003296,
+      "eval_rewards/chosen": -3.352169990539551,
+      "eval_rewards/margins": 0.4150641858577728,
+      "eval_rewards/rejected": -3.7672338485717773,
+      "eval_runtime": 135.1266,
+      "eval_samples_per_second": 7.4,
+      "eval_steps_per_second": 0.466,
+      "step": 600
+    },
+    {
+      "epoch": 1.96,
+      "learning_rate": 1.9358669833729216e-07,
+      "logits/chosen": -2.165018320083618,
+      "logits/rejected": -2.1551880836486816,
+      "logps/chosen": -236.99209594726562,
+      "logps/rejected": -379.29034423828125,
+      "loss": 0.0063,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.8915096521377563,
+      "rewards/margins": 12.898310661315918,
+      "rewards/rejected": -11.006799697875977,
+      "step": 610
+    },
+    {
+      "epoch": 1.99,
+      "learning_rate": 1.876484560570071e-07,
+      "logits/chosen": -2.112156391143799,
+      "logits/rejected": -2.1361286640167236,
+      "logps/chosen": -238.260986328125,
+      "logps/rejected": -367.57647705078125,
+      "loss": 0.0089,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.1359070539474487,
+      "rewards/margins": 12.050466537475586,
+      "rewards/rejected": -10.914558410644531,
+      "step": 620
+    },
+    {
+      "epoch": 2.02,
+      "learning_rate": 1.8171021377672207e-07,
+      "logits/chosen": -2.1914753913879395,
+      "logits/rejected": -2.2092552185058594,
+      "logps/chosen": -239.82968139648438,
+      "logps/rejected": -379.8808898925781,
+      "loss": 0.0065,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 0.7776199579238892,
+      "rewards/margins": 11.117961883544922,
+      "rewards/rejected": -10.340343475341797,
+      "step": 630
+    },
+    {
+      "epoch": 2.05,
+      "learning_rate": 1.7577197149643706e-07,
+      "logits/chosen": -2.124424695968628,
+      "logits/rejected": -2.1311514377593994,
+      "logps/chosen": -251.8069610595703,
+      "logps/rejected": -337.7670593261719,
+      "loss": 0.0089,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": -0.6031948924064636,
+      "rewards/margins": 7.557145595550537,
+      "rewards/rejected": -8.160341262817383,
+      "step": 640
+    },
+    {
+      "epoch": 2.08,
+      "learning_rate": 1.6983372921615202e-07,
+      "logits/chosen": -2.106081008911133,
+      "logits/rejected": -2.0959670543670654,
+      "logps/chosen": -249.3319854736328,
+      "logps/rejected": -362.3397521972656,
+      "loss": 0.0062,
+      "rewards/accuracies": 0.9937499761581421,
+      "rewards/chosen": -0.243983656167984,
+      "rewards/margins": 9.672110557556152,
+      "rewards/rejected": -9.916093826293945,
+      "step": 650
+    },
+    {
+      "epoch": 2.12,
+      "learning_rate": 1.6389548693586697e-07,
+      "logits/chosen": -2.0426225662231445,
+      "logits/rejected": -2.027235507965088,
+      "logps/chosen": -264.58343505859375,
+      "logps/rejected": -402.2667541503906,
+      "loss": 0.0046,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 0.5264443159103394,
+      "rewards/margins": 11.265119552612305,
+      "rewards/rejected": -10.738676071166992,
+      "step": 660
+    },
+    {
+      "epoch": 2.15,
+      "learning_rate": 1.5795724465558193e-07,
+      "logits/chosen": -2.0862302780151367,
+      "logits/rejected": -2.094032049179077,
+      "logps/chosen": -219.7861785888672,
+      "logps/rejected": -376.1147155761719,
+      "loss": 0.0031,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.6179927587509155,
+      "rewards/margins": 14.43371868133545,
+      "rewards/rejected": -12.815725326538086,
+      "step": 670
+    },
+    {
+      "epoch": 2.18,
+      "learning_rate": 1.520190023752969e-07,
+      "logits/chosen": -2.141444206237793,
+      "logits/rejected": -2.1569528579711914,
+      "logps/chosen": -217.67626953125,
+      "logps/rejected": -390.2943115234375,
+      "loss": 0.0026,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.5685292482376099,
+      "rewards/margins": 14.526385307312012,
+      "rewards/rejected": -12.957855224609375,
+      "step": 680
+    },
+    {
+      "epoch": 2.21,
+      "learning_rate": 1.4608076009501184e-07,
+      "logits/chosen": -2.137134552001953,
+      "logits/rejected": -2.1524899005889893,
+      "logps/chosen": -213.85012817382812,
+      "logps/rejected": -384.1824645996094,
+      "loss": 0.0038,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.9703474044799805,
+      "rewards/margins": 15.583375930786133,
+      "rewards/rejected": -13.613027572631836,
+      "step": 690
+    },
+    {
+      "epoch": 2.24,
+      "learning_rate": 1.4014251781472683e-07,
+      "logits/chosen": -2.0553553104400635,
+      "logits/rejected": -2.0486502647399902,
+      "logps/chosen": -226.2926788330078,
+      "logps/rejected": -420.90472412109375,
+      "loss": 0.0029,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 2.2629456520080566,
+      "rewards/margins": 17.714906692504883,
+      "rewards/rejected": -15.451959609985352,
+      "step": 700
+    },
+    {
+      "epoch": 2.24,
+      "eval_logits/chosen": -2.091404676437378,
+      "eval_logits/rejected": -2.118736982345581,
+      "eval_logps/chosen": -283.0655517578125,
+      "eval_logps/rejected": -303.959228515625,
+      "eval_loss": 0.9730385541915894,
+      "eval_rewards/accuracies": 0.5873016119003296,
+      "eval_rewards/chosen": -4.612995147705078,
+      "eval_rewards/margins": 0.5450049042701721,
+      "eval_rewards/rejected": -5.157999515533447,
+      "eval_runtime": 135.0313,
+      "eval_samples_per_second": 7.406,
+      "eval_steps_per_second": 0.467,
+      "step": 700
+    },
+    {
+      "epoch": 2.28,
+      "learning_rate": 1.342042755344418e-07,
+      "logits/chosen": -2.106203079223633,
+      "logits/rejected": -2.101205825805664,
+      "logps/chosen": -209.47457885742188,
+      "logps/rejected": -427.4419860839844,
+      "loss": 0.0017,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 2.1314749717712402,
+      "rewards/margins": 18.671459197998047,
+      "rewards/rejected": -16.539981842041016,
+      "step": 710
+    },
+    {
+      "epoch": 2.31,
+      "learning_rate": 1.2826603325415677e-07,
+      "logits/chosen": -2.0930514335632324,
+      "logits/rejected": -2.100776195526123,
+      "logps/chosen": -232.50479125976562,
+      "logps/rejected": -422.82537841796875,
+      "loss": 0.0014,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 2.4403505325317383,
+      "rewards/margins": 17.976802825927734,
+      "rewards/rejected": -15.536453247070312,
+      "step": 720
+    },
+    {
+      "epoch": 2.34,
+      "learning_rate": 1.2232779097387173e-07,
+      "logits/chosen": -2.0570120811462402,
+      "logits/rejected": -2.048424243927002,
+      "logps/chosen": -220.833251953125,
+      "logps/rejected": -409.28887939453125,
+      "loss": 0.0009,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 2.0816102027893066,
+      "rewards/margins": 19.023530960083008,
+      "rewards/rejected": -16.941919326782227,
+      "step": 730
+    },
+    {
+      "epoch": 2.37,
+      "learning_rate": 1.163895486935867e-07,
+      "logits/chosen": -2.0480129718780518,
+      "logits/rejected": -2.0570969581604004,
+      "logps/chosen": -218.54385375976562,
+      "logps/rejected": -423.27685546875,
+      "loss": 0.0022,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 2.177452802658081,
+      "rewards/margins": 19.3106689453125,
+      "rewards/rejected": -17.13321876525879,
+      "step": 740
+    },
+    {
+      "epoch": 2.4,
+      "learning_rate": 1.1045130641330165e-07,
+      "logits/chosen": -2.0393099784851074,
+      "logits/rejected": -2.064631938934326,
+      "logps/chosen": -240.68948364257812,
+      "logps/rejected": -438.4137268066406,
+      "loss": 0.0018,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.9609296321868896,
+      "rewards/margins": 19.048954010009766,
+      "rewards/rejected": -17.088024139404297,
+      "step": 750
+    },
+    {
+      "epoch": 2.44,
+      "learning_rate": 1.0451306413301662e-07,
+      "logits/chosen": -2.078218698501587,
+      "logits/rejected": -2.09151554107666,
+      "logps/chosen": -238.7852783203125,
+      "logps/rejected": -427.560791015625,
+      "loss": 0.0023,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.3349409103393555,
+      "rewards/margins": 17.530380249023438,
+      "rewards/rejected": -16.195438385009766,
+      "step": 760
+    },
+    {
+      "epoch": 2.47,
+      "learning_rate": 9.857482185273158e-08,
+      "logits/chosen": -2.0929994583129883,
+      "logits/rejected": -2.1046335697174072,
+      "logps/chosen": -257.6733703613281,
+      "logps/rejected": -464.05523681640625,
+      "loss": 0.0018,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 2.210766315460205,
+      "rewards/margins": 18.859294891357422,
+      "rewards/rejected": -16.648527145385742,
+      "step": 770
+    },
+    {
+      "epoch": 2.5,
+      "learning_rate": 9.263657957244655e-08,
+      "logits/chosen": -2.113415241241455,
+      "logits/rejected": -2.1267588138580322,
+      "logps/chosen": -249.73681640625,
+      "logps/rejected": -431.0743713378906,
+      "loss": 0.002,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 0.9247767329216003,
+      "rewards/margins": 16.176433563232422,
+      "rewards/rejected": -15.251657485961914,
+      "step": 780
+    },
+    {
+      "epoch": 2.53,
+      "learning_rate": 8.669833729216151e-08,
+      "logits/chosen": -2.074481725692749,
+      "logits/rejected": -2.0785088539123535,
+      "logps/chosen": -227.53369140625,
+      "logps/rejected": -384.003173828125,
+      "loss": 0.0013,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 0.8787251710891724,
+      "rewards/margins": 15.583755493164062,
+      "rewards/rejected": -14.705029487609863,
+      "step": 790
+    },
+    {
+      "epoch": 2.56,
+      "learning_rate": 8.076009501187649e-08,
+      "logits/chosen": -2.1291556358337402,
+      "logits/rejected": -2.144925594329834,
+      "logps/chosen": -226.36203002929688,
+      "logps/rejected": -399.88360595703125,
+      "loss": 0.0018,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.0979222059249878,
+      "rewards/margins": 16.30962562561035,
+      "rewards/rejected": -15.211705207824707,
+      "step": 800
+    },
+    {
+      "epoch": 2.56,
+      "eval_logits/chosen": -2.076233148574829,
+      "eval_logits/rejected": -2.10378098487854,
+      "eval_logps/chosen": -289.43609619140625,
+      "eval_logps/rejected": -310.7235412597656,
+      "eval_loss": 1.015881061553955,
+      "eval_rewards/accuracies": 0.5873016119003296,
+      "eval_rewards/chosen": -5.250052452087402,
+      "eval_rewards/margins": 0.5843777656555176,
+      "eval_rewards/rejected": -5.834429740905762,
+      "eval_runtime": 135.0469,
+      "eval_samples_per_second": 7.405,
+      "eval_steps_per_second": 0.467,
+      "step": 800
+    },
+    {
+      "epoch": 2.6,
+      "learning_rate": 7.482185273159145e-08,
+      "logits/chosen": -2.072613477706909,
+      "logits/rejected": -2.0949771404266357,
+      "logps/chosen": -245.9056854248047,
+      "logps/rejected": -431.50079345703125,
+      "loss": 0.0015,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.3889291286468506,
+      "rewards/margins": 18.065763473510742,
+      "rewards/rejected": -16.676836013793945,
+      "step": 810
+    },
+    {
+      "epoch": 2.63,
+      "learning_rate": 6.88836104513064e-08,
+      "logits/chosen": -2.1127004623413086,
+      "logits/rejected": -2.095151424407959,
+      "logps/chosen": -224.3485565185547,
+      "logps/rejected": -392.89373779296875,
+      "loss": 0.0016,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.0925308465957642,
+      "rewards/margins": 16.016094207763672,
+      "rewards/rejected": -14.923563957214355,
+      "step": 820
+    },
+    {
+      "epoch": 2.66,
+      "learning_rate": 6.294536817102138e-08,
+      "logits/chosen": -2.043457508087158,
+      "logits/rejected": -2.0708208084106445,
+      "logps/chosen": -245.05282592773438,
+      "logps/rejected": -444.1641540527344,
+      "loss": 0.0022,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.6503627300262451,
+      "rewards/margins": 18.23184585571289,
+      "rewards/rejected": -16.58148193359375,
+      "step": 830
+    },
+    {
+      "epoch": 2.69,
+      "learning_rate": 5.700712589073634e-08,
+      "logits/chosen": -2.0662128925323486,
+      "logits/rejected": -2.0693325996398926,
+      "logps/chosen": -219.8564910888672,
+      "logps/rejected": -358.3108215332031,
+      "loss": 0.002,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": -0.03243887424468994,
+      "rewards/margins": 13.410202026367188,
+      "rewards/rejected": -13.442642211914062,
+      "step": 840
+    },
+    {
+      "epoch": 2.72,
+      "learning_rate": 5.10688836104513e-08,
+      "logits/chosen": -2.0619301795959473,
+      "logits/rejected": -2.0707077980041504,
+      "logps/chosen": -218.51416015625,
+      "logps/rejected": -394.4737243652344,
+      "loss": 0.0008,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 0.7091328501701355,
+      "rewards/margins": 15.42210865020752,
+      "rewards/rejected": -14.712974548339844,
+      "step": 850
+    },
+    {
+      "epoch": 2.76,
+      "learning_rate": 4.5130641330166267e-08,
+      "logits/chosen": -2.098428964614868,
+      "logits/rejected": -2.1084647178649902,
+      "logps/chosen": -253.61538696289062,
+      "logps/rejected": -429.78759765625,
+      "loss": 0.002,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.4912437200546265,
+      "rewards/margins": 17.59982681274414,
+      "rewards/rejected": -16.108583450317383,
+      "step": 860
+    },
+    {
+      "epoch": 2.79,
+      "learning_rate": 3.919239904988123e-08,
+      "logits/chosen": -2.1191351413726807,
+      "logits/rejected": -2.1331193447113037,
+      "logps/chosen": -219.34622192382812,
+      "logps/rejected": -370.738037109375,
+      "loss": 0.0105,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 0.8942230939865112,
+      "rewards/margins": 14.622076034545898,
+      "rewards/rejected": -13.727853775024414,
+      "step": 870
+    },
+    {
+      "epoch": 2.82,
+      "learning_rate": 3.32541567695962e-08,
+      "logits/chosen": -2.104769229888916,
+      "logits/rejected": -2.111499309539795,
+      "logps/chosen": -249.5308380126953,
+      "logps/rejected": -430.3035583496094,
+      "loss": 0.0016,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 0.38554805517196655,
+      "rewards/margins": 14.73956298828125,
+      "rewards/rejected": -14.354013442993164,
+      "step": 880
+    },
+    {
+      "epoch": 2.85,
+      "learning_rate": 2.7315914489311164e-08,
+      "logits/chosen": -2.1363842487335205,
+      "logits/rejected": -2.141021490097046,
+      "logps/chosen": -232.86355590820312,
+      "logps/rejected": -376.73626708984375,
+      "loss": 0.0025,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 0.6885503530502319,
+      "rewards/margins": 13.440515518188477,
+      "rewards/rejected": -12.75196361541748,
+      "step": 890
+    },
+    {
+      "epoch": 2.88,
+      "learning_rate": 2.1377672209026125e-08,
+      "logits/chosen": -2.136543035507202,
+      "logits/rejected": -2.1440882682800293,
+      "logps/chosen": -252.4918975830078,
+      "logps/rejected": -385.3263854980469,
+      "loss": 0.0128,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 1.040738582611084,
+      "rewards/margins": 14.618490219116211,
+      "rewards/rejected": -13.577753067016602,
+      "step": 900
+    },
+    {
+      "epoch": 2.88,
+      "eval_logits/chosen": -2.1040961742401123,
+      "eval_logits/rejected": -2.13144588470459,
+      "eval_logps/chosen": -289.4458312988281,
+      "eval_logps/rejected": -310.62359619140625,
+      "eval_loss": 1.0216755867004395,
+      "eval_rewards/accuracies": 0.5753968358039856,
+      "eval_rewards/chosen": -5.25102424621582,
+      "eval_rewards/margins": 0.5734108090400696,
+      "eval_rewards/rejected": -5.824434757232666,
+      "eval_runtime": 135.1223,
+      "eval_samples_per_second": 7.401,
+      "eval_steps_per_second": 0.466,
+      "step": 900
+    },
+    {
+      "epoch": 2.92,
+      "learning_rate": 1.5439429928741092e-08,
+      "logits/chosen": -2.087221622467041,
+      "logits/rejected": -2.0887157917022705,
+      "logps/chosen": -234.03524780273438,
+      "logps/rejected": -412.8173828125,
+      "loss": 0.0013,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 0.5808283090591431,
+      "rewards/margins": 14.590052604675293,
+      "rewards/rejected": -14.009223937988281,
+      "step": 910
+    },
+    {
+      "epoch": 2.95,
+      "learning_rate": 9.501187648456057e-09,
+      "logits/chosen": -2.142925262451172,
+      "logits/rejected": -2.151294231414795,
+      "logps/chosen": -233.02587890625,
+      "logps/rejected": -392.322998046875,
+      "loss": 0.0016,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 0.5956318974494934,
+      "rewards/margins": 14.147176742553711,
+      "rewards/rejected": -13.551542282104492,
+      "step": 920
+    },
+    {
+      "epoch": 2.98,
+      "learning_rate": 3.562945368171021e-09,
+      "logits/chosen": -2.0257132053375244,
+      "logits/rejected": -2.0395452976226807,
+      "logps/chosen": -239.80917358398438,
+      "logps/rejected": -391.6462097167969,
+      "loss": 0.0017,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 0.49750471115112305,
+      "rewards/margins": 14.218188285827637,
+      "rewards/rejected": -13.720685005187988,
+      "step": 930
+    },
+    {
+      "epoch": 3.0,
+      "step": 936,
+      "total_flos": 0.0,
+      "train_loss": 0.23198359412724215,
+      "train_runtime": 18849.1473,
+      "train_samples_per_second": 3.176,
+      "train_steps_per_second": 0.05
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 936,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 0.0,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0146b1e026c3755b9ce6657de088dc487cc8f0a8712bd7ec986a00817b9b3fb5
+size 5307