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chat_400_STEPS_01beta_5e7rate_CDPOSFT
tsavage68/chat_400_STEPS_01beta_5e7rate_CDPOSFT
chat_400_STEPS_01beta_5e7rate_CDPOSFT is a text generation model from tsavage68. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- llama
- Access
- Public
- Created
- May 7, 2024
- Updated
- May 7, 2024
- SHA
- 797a4613
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Base models
Model card
From the Hugging Face model README
<!-- 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. -->
chat_400_STEPS_01beta_5e7rate_CDPOSFT
This model is a fine-tuned version of tsavage68/chat_600STEPS_1e8rate_SFT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6851
- Rewards/chosen: -0.0303
- Rewards/rejected: -0.0485
- Rewards/accuracies: 0.5077
- Rewards/margins: 0.0182
- Logps/rejected: -19.2868
- Logps/chosen: -17.0576
- Logits/rejected: -0.6041
- Logits/chosen: -0.6040
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: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 400
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6924 | 0.0977 | 50 | 0.6933 | 0.0017 | 0.0020 | 0.4154 | -0.0003 | -18.7815 | -16.7372 | -0.5990 | -0.5988 |
| 0.6889 | 0.1953 | 100 | 0.6896 | -0.0103 | -0.0178 | 0.4769 | 0.0075 | -18.9805 | -16.8580 | -0.6027 | -0.6025 |
| 0.692 | 0.2930 | 150 | 0.6885 | -0.0339 | -0.0443 | 0.4967 | 0.0104 | -19.2452 | -17.0936 | -0.6039 | -0.6038 |
| 0.6898 | 0.3906 | 200 | 0.6871 | -0.0252 | -0.0389 | 0.5033 | 0.0137 | -19.1906 | -17.0066 | -0.6024 | -0.6022 |
| 0.6911 | 0.4883 | 250 | 0.6862 | -0.0287 | -0.0445 | 0.5099 | 0.0159 | -19.2474 | -17.0415 | -0.6037 | -0.6036 |
| 0.6854 | 0.5859 | 300 | 0.6852 | -0.0303 | -0.0482 | 0.5121 | 0.0179 | -19.2838 | -17.0573 | -0.6047 | -0.6046 |
| 0.683 | 0.6836 | 350 | 0.6849 | -0.0303 | -0.0489 | 0.5231 | 0.0186 | -19.2907 | -17.0575 | -0.6039 | -0.6037 |
| 0.6853 | 0.7812 | 400 | 0.6851 | -0.0303 | -0.0485 | 0.5077 | 0.0182 | -19.2868 | -17.0576 | -0.6041 | -0.6040 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.0.0+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- Created
- May 7, 2024
- Updated
- May 7, 2024