metadata
license: apache-2.0
base_model: mosaicml/mpt-7b-instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: mpt_1000_STEPS_1e5_SFT_SFT
results: []
mpt_1000_STEPS_1e5_SFT_SFT
This model is a fine-tuned version of mosaicml/mpt-7b-instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3857
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: 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 |
|---|---|---|---|
| 0.5003 | 0.05 | 50 | 0.4827 |
| 0.4582 | 0.1 | 100 | 0.5370 |
| 0.485 | 0.15 | 150 | 0.4682 |
| 0.5202 | 0.2 | 200 | 0.4486 |
| 0.4687 | 0.24 | 250 | 0.4494 |
| 0.469 | 0.29 | 300 | 0.4485 |
| 0.4331 | 0.34 | 350 | 0.4359 |
| 0.4189 | 0.39 | 400 | 0.4268 |
| 0.4444 | 0.44 | 450 | 0.4190 |
| 0.4187 | 0.49 | 500 | 0.4140 |
| 0.4045 | 0.54 | 550 | 0.4090 |
| 0.4159 | 0.59 | 600 | 0.4021 |
| 0.3862 | 0.64 | 650 | 0.3973 |
| 0.3773 | 0.68 | 700 | 0.3930 |
| 0.382 | 0.73 | 750 | 0.3893 |
| 0.3892 | 0.78 | 800 | 0.3873 |
| 0.4079 | 0.83 | 850 | 0.3862 |
| 0.3667 | 0.88 | 900 | 0.3857 |
| 0.3724 | 0.93 | 950 | 0.3857 |
| 0.3908 | 0.98 | 1000 | 0.3857 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.0.0+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2