mist-7b-sft-gutenberg-50k
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on a part of the train1 split of
sanps/GutenbergFictionSummaryPrepared
It achieves the following results on the evaluation set (split: "small_val"):
- Loss: 2.1665
Loss curves:
I used the https://github.com/huggingface/alignment-handbook with few minor changes.
Weirdly enough it stopped training at 0.69 epoch (no, I am not making this up!). Will have to debug why.
The training was kind of unstable in the beginning but I lowered the lr and added max_grad_norm. However I feel the lr is too low and could have got better results with higher lr.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 4
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1619 | 0.69 | 4282 | 2.1664 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1