File size: 1,733 Bytes
cf04733 89f631b cf04733 89f631b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 |
---
license: apache-2.0
base_model: TheBloke/MetaMath-Mistral-7B-GPTQ
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Mistral-MetaMath-camel_math
results: []
pipeline_tag: text-generation
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral-MetaMath-camel_math
This model is a fine-tuned version of [TheBloke/MetaMath-Mistral-7B-GPTQ](https://huggingface.co/TheBloke/MetaMath-Mistral-7B-GPTQ) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.5238
## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.3858 | 0.4 | 40 | 5.3966 |
| 5.1759 | 0.8 | 80 | 5.0450 |
| 4.5 | 1.2 | 120 | 4.7109 |
| 4.7549 | 1.6 | 160 | 4.5588 |
| 3.6274 | 2.0 | 200 | 4.5238 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0 |