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Summary_L3_200steps_1e7rate_03beta_CSFTDPO
tsavage68/Summary_L3_200steps_1e7rate_03beta_CSFTDPO
Summary_L3_200steps_1e7rate_03beta_CSFTDPO 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. The card lists the license as llama3.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- llama3
- Model type
- llama
- Access
- Public
- Created
- Jun 23, 2024
- Updated
- Jun 23, 2024
- SHA
- ab4be216
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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. -->
Summary_L3_200steps_1e7rate_03beta_CSFTDPO
This model is a fine-tuned version of tsavage68/Summary_L3_1000steps_1e7rate_SFT2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6121
- Rewards/chosen: 0.0271
- Rewards/rejected: -0.2888
- Rewards/accuracies: 0.1400
- Rewards/margins: 0.3159
- Logps/rejected: -16.2264
- Logps/chosen: -9.2923
- Logits/rejected: -1.0930
- Logits/chosen: -1.0946
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: 1e-07
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6831 | 0.2004 | 50 | 0.6816 | 0.0015 | -0.0238 | 0.1300 | 0.0253 | -15.3431 | -9.3779 | -1.0962 | -1.0977 |
| 0.6795 | 0.4008 | 100 | 0.6463 | 0.0093 | -0.1112 | 0.1400 | 0.1205 | -15.6344 | -9.3518 | -1.0932 | -1.0948 |
| 0.6344 | 0.6012 | 150 | 0.6127 | 0.0273 | -0.2824 | 0.1400 | 0.3097 | -16.2051 | -9.2918 | -1.0930 | -1.0947 |
| 0.6204 | 0.8016 | 200 | 0.6121 | 0.0271 | -0.2888 | 0.1400 | 0.3159 | -16.2264 | -9.2923 | -1.0930 | -1.0946 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.0.0+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- llama3
- Created
- Jun 23, 2024
- Updated
- Jun 23, 2024