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UTI_M2_1000steps_1e5rate_01beta_CSFTDPO
tsavage68/UTI_M2_1000steps_1e5rate_01beta_CSFTDPO
UTI_M2_1000steps_1e5rate_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
- Jun 4, 2024
- Updated
- Jun 6, 2024
- SHA
- 1e7f58f9
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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_1000steps_1e5rate_01beta_CSFTDPO
This model is a fine-tuned version of tsavage68/UTI_M2_1000steps_1e7rate_SFT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6931
- Rewards/chosen: 0.0
- Rewards/rejected: 0.0
- Rewards/accuracies: 0.0
- Rewards/margins: 0.0
- Logps/rejected: 0.0
- Logps/chosen: 0.0
- Logits/rejected: -2.7147
- Logits/chosen: -2.7147
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-05
- 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: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6931 | 0.3333 | 25 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 0.6667 | 50 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 1.0 | 75 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 1.3333 | 100 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 1.6667 | 125 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 2.0 | 150 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 2.3333 | 175 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 2.6667 | 200 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 3.0 | 225 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 3.3333 | 250 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 3.6667 | 275 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 4.0 | 300 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 4.3333 | 325 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 4.6667 | 350 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 5.0 | 375 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 5.3333 | 400 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 5.6667 | 425 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 6.0 | 450 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 6.3333 | 475 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 6.6667 | 500 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 7.0 | 525 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 7.3333 | 550 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 7.6667 | 575 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 8.0 | 600 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 8.3333 | 625 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 8.6667 | 650 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 9.0 | 675 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 9.3333 | 700 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 9.6667 | 725 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 10.0 | 750 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 10.3333 | 775 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 10.6667 | 800 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 11.0 | 825 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 11.3333 | 850 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 11.6667 | 875 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 12.0 | 900 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 12.3333 | 925 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 12.6667 | 950 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 13.0 | 975 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
| 0.6931 | 13.3333 | 1000 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.7147 | -2.7147 |
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 6, 2024