File size: 1,442 Bytes
9ab08d7 379f6e9 9ab08d7 379f6e9 9ab08d7 9cb381e 9ab08d7 379f6e9 9cb381e 9ab08d7 |
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 |
---
license: llama2
base_model: TheBloke/llama-2-7B-Guanaco-QLoRA-AWQ
tags:
- generated_from_trainer
datasets:
- emotion
model-index:
- name: llama-2-7B-Guanaco-QLoRA-AWQ
results: []
---
<!-- 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. -->
# llama-2-7B-Guanaco-QLoRA-AWQ
This model is a fine-tuned version of [TheBloke/llama-2-7B-Guanaco-QLoRA-AWQ](https://huggingface.co/TheBloke/llama-2-7B-Guanaco-QLoRA-AWQ) on the emotion dataset.
## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log | 1.0 | 250 | 1.6793 | 0.3225 | 0.2723 |
### Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
|