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Summary4500_M2_400steps_1e8rate_01beta_CSFTDPO
tsavage68/Summary4500_M2_400steps_1e8rate_01beta_CSFTDPO
Summary4500_M2_400steps_1e8rate_01beta_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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- Jul 16, 2024
- Updated
- Jul 16, 2024
- SHA
- 4b178ae3
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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. -->
Hyponatremia_M2_400steps_1e8rate_01beta_CSFTDPO
This model is a fine-tuned version of tsavage68/Summary4500_M2_200steps_1e7rate_SFT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6838
- Rewards/chosen: 0.0016
- Rewards/rejected: -0.0180
- Rewards/accuracies: 0.6400
- Rewards/margins: 0.0196
- Logps/rejected: -152.9099
- Logps/chosen: -93.7234
- Logits/rejected: -2.3527
- Logits/chosen: -2.3052
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-08
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6837 | 0.0112 | 50 | 0.6927 | -0.0020 | -0.0036 | 0.4960 | 0.0017 | -152.7662 | -93.7594 | -2.3523 | -2.3049 |
| 0.6845 | 0.0224 | 100 | 0.6912 | 0.0015 | -0.0032 | 0.5580 | 0.0047 | -152.7614 | -93.7247 | -2.3530 | -2.3055 |
| 0.693 | 0.0336 | 150 | 0.6873 | -0.0010 | -0.0136 | 0.6160 | 0.0126 | -152.8659 | -93.7498 | -2.3518 | -2.3044 |
| 0.6856 | 0.0448 | 200 | 0.6873 | -0.0005 | -0.0133 | 0.5920 | 0.0128 | -152.8629 | -93.7448 | -2.3518 | -2.3044 |
| 0.6791 | 0.0559 | 250 | 0.6863 | -0.0009 | -0.0155 | 0.5820 | 0.0146 | -152.8851 | -93.7492 | -2.3522 | -2.3047 |
| 0.6961 | 0.0671 | 300 | 0.6838 | -0.0005 | -0.0202 | 0.6320 | 0.0196 | -152.9316 | -93.7453 | -2.3517 | -2.3043 |
| 0.6984 | 0.0783 | 350 | 0.6840 | 0.0016 | -0.0177 | 0.6380 | 0.0192 | -152.9066 | -93.7241 | -2.3527 | -2.3052 |
| 0.6724 | 0.0895 | 400 | 0.6838 | 0.0016 | -0.0180 | 0.6400 | 0.0196 | -152.9099 | -93.7234 | -2.3527 | -2.3052 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.0.0+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- License
- apache-2.0
- Created
- Jul 16, 2024
- Updated
- Jul 16, 2024