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Mistral2_300_STEPS_01beta_1e7rate_CDPOSFT
tsavage68/Mistral2_300_STEPS_01beta_1e7rate_CDPOSFT
Mistral2_300_STEPS_01beta_1e7rate_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. 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
- May 6, 2024
- Updated
- May 6, 2024
- SHA
- 640c8faa
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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. -->
Mistral2_300_STEPS_01beta_1e7rate_CDPOSFT
This model is a fine-tuned version of tsavage68/mistralit2_1000_STEPS_5e7_SFT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5720
- Rewards/chosen: 0.2834
- Rewards/rejected: -0.1194
- Rewards/accuracies: 0.6484
- Rewards/margins: 0.4028
- Logps/rejected: -27.7509
- Logps/chosen: -20.8379
- Logits/rejected: -2.1751
- Logits/chosen: -2.1746
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: 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: 300
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6891 | 0.0977 | 50 | 0.6864 | 0.0309 | 0.0171 | 0.6220 | 0.0138 | -26.3858 | -23.3627 | -2.3067 | -2.3063 |
| 0.6478 | 0.1953 | 100 | 0.6468 | 0.0940 | -0.0114 | 0.6418 | 0.1054 | -26.6706 | -22.7312 | -2.2655 | -2.2651 |
| 0.5684 | 0.2930 | 150 | 0.5979 | 0.1517 | -0.1062 | 0.6593 | 0.2579 | -27.6188 | -22.1551 | -2.2170 | -2.2166 |
| 0.4682 | 0.3906 | 200 | 0.5760 | 0.2970 | -0.0758 | 0.6462 | 0.3728 | -27.3147 | -20.7013 | -2.1834 | -2.1830 |
| 0.5035 | 0.4883 | 250 | 0.5718 | 0.2838 | -0.1177 | 0.6484 | 0.4015 | -27.7339 | -20.8337 | -2.1751 | -2.1747 |
| 0.4736 | 0.5859 | 300 | 0.5720 | 0.2834 | -0.1194 | 0.6484 | 0.4028 | -27.7509 | -20.8379 | -2.1751 | -2.1746 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.0.0+cu117
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- License
- apache-2.0
- Created
- May 6, 2024
- Updated
- May 6, 2024