metadata
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Hyponatremia_M2_1000steps_1e7rate_SFT
results: []
Hyponatremia_M2_1000steps_1e7rate_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: 0.2097
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 |
|---|---|---|---|
| 2.039 | 0.2667 | 50 | 1.9360 |
| 0.7076 | 0.5333 | 100 | 0.5643 |
| 0.2876 | 0.8 | 150 | 0.2857 |
| 0.2565 | 1.0667 | 200 | 0.2616 |
| 0.2355 | 1.3333 | 250 | 0.2328 |
| 0.2188 | 1.6 | 300 | 0.2218 |
| 0.2185 | 1.8667 | 350 | 0.2184 |
| 0.2101 | 2.1333 | 400 | 0.2154 |
| 0.2104 | 2.4 | 450 | 0.2139 |
| 0.2111 | 2.6667 | 500 | 0.2128 |
| 0.2106 | 2.9333 | 550 | 0.2111 |
| 0.2086 | 3.2 | 600 | 0.2106 |
| 0.2078 | 3.4667 | 650 | 0.2101 |
| 0.2027 | 3.7333 | 700 | 0.2101 |
| 0.2049 | 4.0 | 750 | 0.2100 |
| 0.2079 | 4.2667 | 800 | 0.2098 |
| 0.2057 | 4.5333 | 850 | 0.2098 |
| 0.2034 | 4.8 | 900 | 0.2097 |
| 0.205 | 5.0667 | 950 | 0.2097 |
| 0.2045 | 5.3333 | 1000 | 0.2097 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.0.0+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1