metadata
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: mistral7binstruct_summarize
results: []
mistral7binstruct_summarize
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.5086
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: 0.0005
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 3
- training_steps: 400
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7282 | 0.03 | 25 | 1.5986 |
| 1.5968 | 0.05 | 50 | 1.5566 |
| 1.5774 | 0.08 | 75 | 1.5433 |
| 1.5917 | 0.11 | 100 | 1.5409 |
| 1.5659 | 0.13 | 125 | 1.5339 |
| 1.5191 | 0.16 | 150 | 1.5312 |
| 1.5592 | 0.19 | 175 | 1.5267 |
| 1.4833 | 0.22 | 200 | 1.5245 |
| 1.4792 | 0.24 | 225 | 1.5208 |
| 1.5253 | 0.27 | 250 | 1.5162 |
| 1.5347 | 0.3 | 275 | 1.5138 |
| 1.5042 | 0.32 | 300 | 1.5116 |
| 1.4756 | 0.35 | 325 | 1.5098 |
| 1.5102 | 0.38 | 350 | 1.5090 |
| 1.4511 | 0.4 | 375 | 1.5087 |
| 1.4451 | 0.43 | 400 | 1.5086 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2