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Llama-2-7b-chat-hf-ark-ft
keylazy/Llama-2-7b-chat-hf-ark-ft
Llama-2-7b-chat-hf-ark-ft is a text classification model from keylazy. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- llama
- Access
- Public
- Created
- Nov 9, 2023
- Updated
- Nov 10, 2023
- SHA
- 51ec0c8e
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Model card
From the Hugging Face model README
<!-- 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-chat-hf-ark-ft
This model is a fine-tuned version of keylazy/Llama-2-7b-chat-hf-ark on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1845
- Accuracy: 0.9435
- Precision: 0.9435
- Recall: 0.9435
- F1: 0.9434
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.1635 | 0.5 | 3828 | 0.1612 | 0.9267 | 0.9270 | 0.9267 | 0.9267 |
| 0.1302 | 1.0 | 7656 | 0.1330 | 0.9424 | 0.9429 | 0.9424 | 0.9423 |
| 0.0352 | 1.5 | 11484 | 0.1845 | 0.9435 | 0.9435 | 0.9435 | 0.9434 |
| 0.0316 | 2.0 | 15312 | 0.1851 | 0.9428 | 0.9429 | 0.9428 | 0.9428 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- llama
- Created
- Nov 9, 2023
- Updated
- Nov 10, 2023