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llama-7b-absa-laptops
Shakhovak/llama-7b-absa-laptops
llama-7b-absa-laptops is a machine learning model from Shakhovak. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Apr 21, 2024
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At a glance
- License
- other
- Access
- Public
- Created
- Apr 21, 2024
- Updated
- Apr 21, 2024
- SHA
- 57f924d3
Base models
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-7b-absa-laptops
This model is a fine-tuned version of baffo32/decapoda-research-llama-7B-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0366
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 400
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1185 | 0.36 | 40 | 0.0361 |
| 0.0319 | 0.72 | 80 | 0.0275 |
| 0.0248 | 1.08 | 120 | 0.0260 |
| 0.0162 | 1.44 | 160 | 0.0301 |
| 0.0161 | 1.8 | 200 | 0.0281 |
| 0.0134 | 2.16 | 240 | 0.0290 |
| 0.0084 | 2.52 | 280 | 0.0278 |
| 0.0073 | 2.88 | 320 | 0.0285 |
| 0.0047 | 3.24 | 360 | 0.0348 |
| 0.0031 | 3.6 | 400 | 0.0366 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- License
- other
- Created
- Apr 21, 2024
- Updated
- Apr 21, 2024