metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mixtral-8x7B-v0.1
model-index:
- name: pawan2411/semMixtral-LoRA
results: []
pawan2411/semMixtral-LoRA
This model is a fine-tuned version of mistralai/Mixtral-8x7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3446
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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- 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: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 300
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4717 | 0.1 | 25 | 1.4328 |
| 1.409 | 0.2 | 50 | 1.3987 |
| 1.4058 | 0.3 | 75 | 1.3804 |
| 1.3436 | 0.4 | 100 | 1.3703 |
| 1.3548 | 0.5 | 125 | 1.3611 |
| 1.32 | 0.6 | 150 | 1.3558 |
| 1.3892 | 0.7 | 175 | 1.3509 |
| 1.384 | 0.8 | 200 | 1.3483 |
| 1.3442 | 0.89 | 225 | 1.3467 |
| 1.3692 | 0.99 | 250 | 1.3461 |
| 1.2944 | 1.09 | 275 | 1.3448 |
| 1.3064 | 1.19 | 300 | 1.3446 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0