metadata
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Summary_M2_1000steps_1e7rate_SFT2
results: []
Summary_M2_1000steps_1e7rate_SFT2
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: 0.5731
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-07
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- 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 |
|---|---|---|---|
| 1.8232 | 0.2 | 50 | 1.7949 |
| 1.53 | 0.4 | 100 | 1.4490 |
| 1.0256 | 0.6 | 150 | 0.9395 |
| 0.6284 | 0.8 | 200 | 0.6030 |
| 0.5923 | 1.0 | 250 | 0.5887 |
| 0.5851 | 1.2 | 300 | 0.5835 |
| 0.675 | 1.4 | 350 | 0.5802 |
| 0.5931 | 1.6 | 400 | 0.5780 |
| 0.5629 | 1.8 | 450 | 0.5765 |
| 0.6207 | 2.0 | 500 | 0.5753 |
| 0.5956 | 2.2 | 550 | 0.5745 |
| 0.5902 | 2.4 | 600 | 0.5740 |
| 0.6132 | 2.6 | 650 | 0.5736 |
| 0.5964 | 2.8 | 700 | 0.5733 |
| 0.5844 | 3.0 | 750 | 0.5732 |
| 0.6054 | 3.2 | 800 | 0.5731 |
| 0.6079 | 3.4 | 850 | 0.5731 |
| 0.6549 | 3.6 | 900 | 0.5731 |
| 0.5838 | 3.8 | 950 | 0.5731 |
| 0.5724 | 4.0 | 1000 | 0.5731 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.0.0+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1