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---
license: apache-2.0
base_model: mosaicml/mpt-7b-instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: mpt_200_STEPS_1e5_SFT_SFT
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mpt_200_STEPS_1e5_SFT_SFT
This model is a fine-tuned version of [mosaicml/mpt-7b-instruct](https://huggingface.co/mosaicml/mpt-7b-instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4234
## 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: 200
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5003 | 0.05 | 50 | 0.4827 |
| 0.4582 | 0.1 | 100 | 0.5370 |
| 0.4625 | 0.15 | 150 | 0.4418 |
| 0.476 | 0.2 | 200 | 0.4234 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.0.0+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2