metadata
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: mistralai/Mixtral-8x7B-v0.1
model-index:
- name: Project5_V3_Mistral8x7b_V2.2.5
results: []
Project5_V3_Mistral8x7b_V2.2.5
This model is a fine-tuned version of mistralai/Mixtral-8x7B-v0.1 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 2.2430
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 128
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 40
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.63 | 1 | 2.3024 |
| No log | 1.88 | 3 | 2.2997 |
| No log | 2.51 | 4 | 2.2977 |
| 2.2951 | 3.76 | 6 | 2.2935 |
| 2.2951 | 4.39 | 7 | 2.2905 |
| 2.2951 | 5.65 | 9 | 2.2853 |
| 2.2845 | 6.9 | 11 | 2.2789 |
| 2.2845 | 7.53 | 12 | 2.2757 |
| 2.2845 | 8.78 | 14 | 2.2696 |
| 2.2729 | 9.41 | 15 | 2.2667 |
| 2.2729 | 10.67 | 17 | 2.2619 |
| 2.2729 | 11.92 | 19 | 2.2576 |
| 2.2599 | 12.55 | 20 | 2.2555 |
| 2.2599 | 13.8 | 22 | 2.2519 |
| 2.2599 | 14.43 | 23 | 2.2504 |
| 2.2523 | 15.69 | 25 | 2.2479 |
| 2.2523 | 16.94 | 27 | 2.2462 |
| 2.2523 | 17.57 | 28 | 2.2454 |
| 2.2471 | 18.82 | 30 | 2.2442 |
| 2.2471 | 19.45 | 31 | 2.2437 |
| 2.2471 | 20.71 | 33 | 2.2432 |
| 2.2444 | 21.96 | 35 | 2.2427 |
| 2.2444 | 22.59 | 36 | 2.2428 |
| 2.2444 | 23.84 | 38 | 2.2429 |
| 2.2444 | 24.47 | 39 | 2.2429 |
| 2.2427 | 25.1 | 40 | 2.2430 |
Framework versions
- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2