mistral_yt_transcribe_classification_opt_train
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0335
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: 5e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0393 | 1.0 | 640 | 0.0381 |
| 0.0334 | 2.0 | 1281 | 0.0340 |
| 0.0226 | 3.0 | 1921 | 0.0343 |
| 0.0275 | 4.0 | 2560 | 0.0335 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for hiiamsid/mistral_yt_transcribe_classification_opt_train
Base model
mistralai/Mistral-7B-Instruct-v0.2