Model save
Browse files- README.md +72 -0
- all_results.json +8 -0
- generation_config.json +10 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +298 -0
- train_results.json +8 -0
- trainer_state.json +241 -0
README.md
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---
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base_model: meta-llama/Llama-2-7b-hf
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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: llama2-7b-dpo-full-wo-kqa_silver_wogold-ep3
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results: []
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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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# llama2-7b-dpo-full-wo-kqa_silver_wogold-ep3
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6597
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- Rewards/chosen: 0.0473
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- Rewards/rejected: -0.0269
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- Rewards/accuracies: 0.8044
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- Rewards/margins: 0.0742
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- Logps/rejected: -1010.1399
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- Logps/chosen: -408.6627
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- Logits/rejected: -0.5930
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- Logits/chosen: 0.4742
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-07
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 2
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- total_train_batch_size: 64
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- total_eval_batch_size: 32
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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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### Training results
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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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| 0.5979 | 0.79 | 100 | 0.6597 | 0.0473 | -0.0269 | 0.8044 | 0.0742 | -1010.1399 | -408.6627 | -0.5930 | 0.4742 |
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### Framework versions
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- Transformers 4.39.0.dev0
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- Pytorch 2.1.2
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- Datasets 2.14.6
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- Tokenizers 0.15.2
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all_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.6376642821327089,
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"train_runtime": 2213.5067,
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"train_samples": 8087,
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"train_samples_per_second": 3.653,
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"train_steps_per_second": 0.057
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}
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generation_config.json
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{
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"bos_token_id": 1,
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"do_sample": true,
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"eos_token_id": 2,
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"max_length": 4096,
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"pad_token_id": 0,
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.39.0.dev0"
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}
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model-00001-of-00003.safetensors
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size 4938985352
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model-00002-of-00003.safetensors
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model-00003-of-00003.safetensors
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model.safetensors.index.json
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