Jan Majkutewicz
commited on
End of training
Browse files- README.md +14 -1
- all_results.json +13 -0
- config.json +26 -0
- eval_results.json +16 -0
README.md
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---
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base_model: alignment-handbook/zephyr-7b-sft-full
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library_name: peft
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license: apache-2.0
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tags:
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- trl
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- dpo
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- generated_from_trainer
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@@ -17,7 +20,17 @@ should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/jan-majkutewicz/huggingface/runs/uistaj1t)
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# zephyr-7b-oasst1
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on
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## Model description
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---
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base_model: alignment-handbook/zephyr-7b-sft-full
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datasets:
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- SeniorKabanocci/oasst1-binarized
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library_name: peft
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license: apache-2.0
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tags:
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- alignment-handbook
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- trl
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- dpo
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- generated_from_trainer
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/jan-majkutewicz/huggingface/runs/uistaj1t)
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# zephyr-7b-oasst1
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the SeniorKabanocci/oasst1-binarized dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6059
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- Rewards/chosen: -0.9430
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- Rewards/rejected: -1.3459
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- Rewards/accuracies: 0.6348
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- Rewards/margins: 0.4030
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- Logps/rejected: -239.4801
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- Logps/chosen: -256.8972
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- Logits/rejected: -2.8973
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- Logits/chosen: -2.9273
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## Model description
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all_results.json
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{
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"epoch": 0.9994353472614342,
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"total_flos": 0.0,
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"train_loss": 0.6616038349388683,
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"train_runtime": 9964.5835,
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{
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"epoch": 0.9994353472614342,
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"eval_logits/chosen": -2.9273033142089844,
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"eval_logits/rejected": -2.8973140716552734,
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"eval_logps/chosen": -256.8972473144531,
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"eval_logps/rejected": -239.4800567626953,
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"eval_loss": 0.6058722734451294,
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"eval_rewards/accuracies": 0.6348314881324768,
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"eval_rewards/chosen": -0.9429696798324585,
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"eval_rewards/margins": 0.4029598534107208,
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"eval_rewards/rejected": -1.3459293842315674,
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"eval_runtime": 230.8014,
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"eval_samples": 712,
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"eval_samples_per_second": 3.085,
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"eval_steps_per_second": 0.386,
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"total_flos": 0.0,
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"train_loss": 0.6616038349388683,
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"train_runtime": 9964.5835,
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config.json
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{
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"_name_or_path": "alignment-handbook/zephyr-7b-sft-full",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.42.3",
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"use_cache": true,
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"vocab_size": 32000
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}
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eval_results.json
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{
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"epoch": 0.9994353472614342,
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"eval_logits/chosen": -2.9273033142089844,
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"eval_logits/rejected": -2.8973140716552734,
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"eval_logps/chosen": -256.8972473144531,
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"eval_logps/rejected": -239.4800567626953,
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"eval_loss": 0.6058722734451294,
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"eval_rewards/accuracies": 0.6348314881324768,
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"eval_rewards/chosen": -0.9429696798324585,
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"eval_rewards/margins": 0.4029598534107208,
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"eval_rewards/rejected": -1.3459293842315674,
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"eval_runtime": 230.8014,
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"eval_samples": 712,
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"eval_samples_per_second": 3.085,
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"eval_steps_per_second": 0.386
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}
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