metadata
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Summary4500_M2_1000steps_1e5rate_SFT
results: []
Summary4500_M2_1000steps_1e5rate_SFT
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: 0.2078
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0802 | 0.0112 | 50 | 0.1537 |
| 0.0928 | 0.0224 | 100 | 0.2051 |
| 0.0472 | 0.0336 | 150 | 0.2078 |
| 0.0353 | 0.0448 | 200 | 0.2284 |
| 0.006 | 0.0559 | 250 | 0.1843 |
| 0.0001 | 0.0671 | 300 | 0.1926 |
| 0.0 | 0.0783 | 350 | 0.1961 |
| 0.0 | 0.0895 | 400 | 0.1987 |
| 0.0 | 0.1007 | 450 | 0.2007 |
| 0.0 | 0.1119 | 500 | 0.2025 |
| 0.0 | 0.1231 | 550 | 0.2041 |
| 0.0 | 0.1343 | 600 | 0.2050 |
| 0.0 | 0.1454 | 650 | 0.2060 |
| 0.0 | 0.1566 | 700 | 0.2067 |
| 0.0 | 0.1678 | 750 | 0.2069 |
| 0.0 | 0.1790 | 800 | 0.2073 |
| 0.0 | 0.1902 | 850 | 0.2074 |
| 0.0 | 0.2014 | 900 | 0.2078 |
| 0.0 | 0.2126 | 950 | 0.2078 |
| 0.0 | 0.2238 | 1000 | 0.2078 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.0.0+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1