metadata
license: apache-2.0
base_model: imone/Mistral_7B_with_EOT_token
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: zephyr-7b-sft-full
results: []
zephyr-7b-sft-full
This model is a fine-tuned version of imone/Mistral_7B_with_EOT_token on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.3284
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-06
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6695 | 1.0 | 572 | 0.6610 |
| 0.523 | 2.0 | 1144 | 0.4895 |
| 0.3858 | 3.0 | 1716 | 0.3774 |
| 0.281 | 4.0 | 2288 | 0.3296 |
| 0.229 | 5.0 | 2860 | 0.3284 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.1.2+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1