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imp_sam_iter_1

PEFT
Safetensors
mistral
alignment-handbook
Generated from Trainer
trl
dpo
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  1. README.md +75 -0
  2. all_results.json +8 -0
  3. train_results.json +8 -0
  4. trainer_state.json +270 -0
README.md ADDED
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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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+ model-index:
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+ - name: imp_sam_iter_1
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # imp_sam_iter_1
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+
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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 None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6285
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+ - Rewards/chosen: -0.1131
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+ - Rewards/rejected: -0.2857
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+ - Rewards/accuracies: 0.7000
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+ - Rewards/margins: 0.1725
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+ - Logps/rejected: -286.0817
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+ - Logps/chosen: -295.3544
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+ - Logits/rejected: -2.5416
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+ - Logits/chosen: -2.6261
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-06
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 8
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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+ | 0.6297 | 0.64 | 100 | 0.6285 | -0.1131 | -0.2857 | 0.7000 | 0.1725 | -286.0817 | -295.3544 | -2.5416 | -2.6261 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.7.1
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.15.2
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+ {
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+ "train_samples_per_second": 2.796,
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+ "train_steps_per_second": 0.022
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+ }
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+ {
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+ "train_samples_per_second": 2.796,
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+ "train_steps_per_second": 0.022
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+ }
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