Model save
Browse files- README.md +15 -14
- all_results.json +4 -5
- config.json +1 -1
- generation_config.json +1 -1
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- runs/May31_01-40-50_n136-100-194/events.out.tfevents.1717090981.n136-100-194.1984510.0 +2 -2
- tokenizer.json +0 -1
- train_results.json +4 -5
- trainer_state.json +446 -458
- training_args.bin +2 -2
README.md
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@@ -16,14 +16,14 @@ should probably proofread and complete it, then remove this comment. -->
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6931
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- Rewards/chosen: -
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- Rewards/rejected: -
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- Rewards/accuracies: 0.0
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- Rewards/margins: 0.0
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- Logps/rejected: -
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- Logps/chosen: -
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- Logits/rejected: -3.
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- Logits/chosen: -3.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-
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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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- total_eval_batch_size: 64
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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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- num_epochs: 1
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### Training results
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| Training Loss | Epoch
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### Framework versions
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- Transformers 4.
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- Pytorch 2.1.2+cu118
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- Datasets 2.16.1
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- Tokenizers 0.
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6931
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- Rewards/chosen: -8.4881
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- Rewards/rejected: -8.4881
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- Rewards/accuracies: 0.0
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- Rewards/margins: 0.0
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- Logps/rejected: -164.0651
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- Logps/chosen: -164.0651
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- Logits/rejected: -3.2224
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- Logits/chosen: -3.2224
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## Model description
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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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- total_eval_batch_size: 64
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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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| 0.7723 | 0.29 | 100 | 0.6931 | -2.0247 | -2.0247 | 0.0 | 0.0 | -157.6017 | -157.6017 | -3.1472 | -3.1472 |
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| 0.7717 | 0.57 | 200 | 0.6931 | -12.0830 | -12.0830 | 0.0 | 0.0 | -167.6601 | -167.6601 | -3.1635 | -3.1635 |
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| 0.782 | 0.86 | 300 | 0.6931 | -8.4881 | -8.4881 | 0.0 | 0.0 | -164.0651 | -164.0651 | -3.2224 | -3.2224 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.2+cu118
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- Datasets 2.16.1
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- Tokenizers 0.15.2
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all_results.json
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config.json
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generation_config.json
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tokenizer.json
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