Tweet_sentiment / README.md
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AT-Llama-2-7b-chat-Tweet-Sentiment
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metadata
license: llama2
library_name: peft
tags:
  - generated_from_trainer
base_model: TheBloke/Llama-2-7B-Chat-GPTQ
model-index:
  - name: Tweet_sentiment
    results: []

Tweet_sentiment

This model is a fine-tuned version of 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