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mistral-finetune
vishaljangra29/mistral-finetune
mistral-finetune is a machine learning model from vishaljangra29. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- May 15, 2024
- Updated
- May 15, 2024
- SHA
- e6464630
Base models
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. -->
mistral-finetune
This model is a fine-tuned version of sid321axn/Mistral-7B-text-to-sql-finetuned on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3199
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: 0.00025
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2637 | 25.0 | 25 | 0.2518 |
| 0.0062 | 50.0 | 50 | 0.2701 |
| 0.0001 | 75.0 | 75 | 0.3082 |
| 0.0152 | 100.0 | 100 | 0.3453 |
| 0.0362 | 125.0 | 125 | 0.3130 |
| 0.0745 | 150.0 | 150 | 0.2873 |
| 0.0064 | 175.0 | 175 | 0.2935 |
| 0.0996 | 200.0 | 200 | 0.3202 |
| 0.0279 | 225.0 | 225 | 0.3330 |
| 0.0046 | 250.0 | 250 | 0.3273 |
| 0.0012 | 275.0 | 275 | 0.3133 |
| 0.0 | 300.0 | 300 | 0.3142 |
| 0.0 | 325.0 | 325 | 0.3159 |
| 0.0 | 350.0 | 350 | 0.3173 |
| 0.0 | 375.0 | 375 | 0.3185 |
| 0.0 | 400.0 | 400 | 0.3191 |
| 0.0 | 425.0 | 425 | 0.3196 |
| 0.0 | 450.0 | 450 | 0.3197 |
| 0.0 | 475.0 | 475 | 0.3199 |
| 0.0 | 500.0 | 500 | 0.3199 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- Created
- May 15, 2024
- Updated
- May 15, 2024