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tamil-llama-7b-instruct-quantized-ASR-output-fine-tuning
sujith013/tamil-llama-7b-instruct-quantized-ASR-output-fine-tuning
tamil-llama-7b-instruct-quantized-ASR-output-fine-tuning is a machine learning model from sujith013. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as llama2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama2
- Access
- Public
- Created
- Feb 8, 2024
- Updated
- Feb 8, 2024
- SHA
- ecf27697
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. -->
tamil-llama-7b-instruct-quantized-ASR-output-fine-tuning
This model is a fine-tuned version of abhinand/tamil-llama-7b-instruct-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.3527
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 1500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4659 | 2.58 | 500 | 4.2383 |
| 1.9248 | 5.17 | 1000 | 4.6944 |
| 1.4112 | 7.75 | 1500 | 5.3527 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.1
- Library
- peft
- License
- llama2
- Languages
- ta
- Created
- Feb 8, 2024
- Updated
- Feb 8, 2024