Model save

README.md

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+---
+library_name: transformers
+license: mit
+base_model: HuggingFaceH4/mistral-7b-sft-beta
+tags:
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: zephyr0-7b-ultra-p-0.05
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# zephyr0-7b-ultra-p-0.05
+
+This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5029
+- Rewards/chosen: -1.1300
+- Rewards/rejected: -1.9954
+- Rewards/accuracies: 0.75
+- Rewards/margins: 0.8654
+- Logps/rejected: -427.3289
+- Logps/chosen: -335.3676
+- Logits/rejected: -1.9689
+- Logits/chosen: -2.0651
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-07
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5625        | 0.2060 | 100  | 0.5413          | -1.0460        | -1.5393          | 0.6875             | 0.4932          | -381.7129      | -326.9707    | -2.4726         | -2.5375       |
+| 0.5145        | 0.4119 | 200  | 0.5226          | -1.0460        | -1.7939          | 0.7656             | 0.7479          | -407.1714      | -326.9680    | -2.1622         | -2.2436       |
+| 0.4948        | 0.6179 | 300  | 0.5165          | -0.9692        | -1.7757          | 0.75               | 0.8064          | -405.3522      | -319.2909    | -2.0477         | -2.1379       |
+| 0.4931        | 0.8239 | 400  | 0.5051          | -1.0779        | -1.9119          | 0.75               | 0.8340          | -418.9738      | -330.1579    | -2.0159         | -2.1084       |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.0
+- Tokenizers 0.20.0

all_results.json

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+{
+    "epoch": 0.9989701338825953,
+    "eval_logits/chosen": -2.065095901489258,
+    "eval_logits/rejected": -1.9689290523529053,
+    "eval_logps/chosen": -335.3676452636719,
+    "eval_logps/rejected": -427.32891845703125,
+    "eval_loss": 0.5029041767120361,
+    "eval_rewards/accuracies": 0.75,
+    "eval_rewards/chosen": -1.1300084590911865,
+    "eval_rewards/margins": 0.865437388420105,
+    "eval_rewards/rejected": -1.995445728302002,
+    "eval_runtime": 65.1127,
+    "eval_samples_per_second": 15.358,
+    "eval_steps_per_second": 0.246
+}

config.json

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+{
+  "_name_or_path": "HuggingFaceH4/mistral-7b-sft-beta",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "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": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.45.1",
+  "use_cache": false,
+  "vocab_size": 32000
+}

eval_results.json

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+{
+    "epoch": 0.9989701338825953,
+    "eval_logits/chosen": -2.065095901489258,
+    "eval_logits/rejected": -1.9689290523529053,
+    "eval_logps/chosen": -335.3676452636719,
+    "eval_logps/rejected": -427.32891845703125,
+    "eval_loss": 0.5029041767120361,
+    "eval_rewards/accuracies": 0.75,
+    "eval_rewards/chosen": -1.1300084590911865,
+    "eval_rewards/margins": 0.865437388420105,
+    "eval_rewards/rejected": -1.995445728302002,
+    "eval_runtime": 65.1127,
+    "eval_samples_per_second": 15.358,
+    "eval_steps_per_second": 0.246
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.45.1"
+}

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