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UTI_M2_125steps_1e7rate_03beta_CSFTDPO
tsavage68/UTI_M2_125steps_1e7rate_03beta_CSFTDPO
UTI_M2_125steps_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 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
- Jun 4, 2024
- Updated
- Jun 4, 2024
- SHA
- 7d547674
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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. -->
UTI_M2_125steps_1e7rate_03beta_CSFTDPO
This model is a fine-tuned version of tsavage68/UTI_M2_1000steps_1e5rate_SFT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1279
- Rewards/chosen: 0.8248
- Rewards/rejected: -2.3490
- Rewards/accuracies: 0.9000
- Rewards/margins: 3.1737
- Logps/rejected: -51.9960
- Logps/chosen: -17.5453
- Logits/rejected: -3.8211
- Logits/chosen: -3.7455
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: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- 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: 125
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6941 | 0.3333 | 25 | 0.6798 | 0.0045 | -0.0228 | 0.7100 | 0.0273 | -44.2422 | -20.2796 | -3.8170 | -3.7449 |
| 0.5941 | 0.6667 | 50 | 0.5344 | 0.0703 | -0.3106 | 0.8900 | 0.3808 | -45.2014 | -20.0603 | -3.8170 | -3.7449 |
| 0.3961 | 1.0 | 75 | 0.3186 | 0.2704 | -0.9924 | 0.9000 | 1.2628 | -47.4743 | -19.3933 | -3.8191 | -3.7463 |
| 0.1235 | 1.3333 | 100 | 0.1814 | 0.5489 | -1.9964 | 0.9000 | 2.5452 | -50.8207 | -18.4649 | -3.8226 | -3.7485 |
| 0.1123 | 1.6667 | 125 | 0.1279 | 0.8248 | -2.3490 | 0.9000 | 3.1737 | -51.9960 | -17.5453 | -3.8211 | -3.7455 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.0.0+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- License
- apache-2.0
- Created
- Jun 4, 2024
- Updated
- Jun 4, 2024