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---
license: llama2
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Llama-2-7B-Chat-GPTQ
model-index:
- name: Tweet_sentiment
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. -->
# Tweet_sentiment
This model is a fine-tuned version of [TheBloke/Llama-2-7B-Chat-GPTQ](https://huggingface.co/TheBloke/Llama-2-7B-Chat-GPTQ) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6657
## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- 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: 0.03
- num_epochs: 1
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 5.422 | 0.0457 | 2 | 5.1721 |
| 5.1534 | 0.0914 | 4 | 4.6225 |
| 4.5268 | 0.1371 | 6 | 4.0415 |
| 3.9455 | 0.1829 | 8 | 3.5294 |
| 3.4478 | 0.2286 | 10 | 3.1964 |
| 3.1897 | 0.2743 | 12 | 2.9354 |
| 2.8951 | 0.32 | 14 | 2.6721 |
| 2.5987 | 0.3657 | 16 | 2.4219 |
| 2.3629 | 0.4114 | 18 | 2.2606 |
| 2.1553 | 0.4571 | 20 | 2.1368 |
| 2.109 | 0.5029 | 22 | 2.0289 |
| 1.9611 | 0.5486 | 24 | 1.9382 |
| 1.8992 | 0.5943 | 26 | 1.8638 |
| 1.794 | 0.64 | 28 | 1.8066 |
| 1.7374 | 0.6857 | 30 | 1.7621 |
| 1.7599 | 0.7314 | 32 | 1.7268 |
| 1.769 | 0.7771 | 34 | 1.7006 |
| 1.6442 | 0.8229 | 36 | 1.6834 |
| 1.6242 | 0.8686 | 38 | 1.6730 |
| 1.7367 | 0.9143 | 40 | 1.6677 |
| 1.6649 | 0.96 | 42 | 1.6657 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.1.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1 |