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adyogigpt-ft
abhiramag/adyogigpt-ft
adyogigpt-ft is a machine learning model from abhiramag. 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
- Jun 18, 2024
- Updated
- Jun 18, 2024
- SHA
- b296d97c
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. -->
adyogigpt-ft
This model is a fine-tuned version of TheBloke/Llama-2-13B-chat-GPTQ on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6650
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: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.2052 | 0.8 | 2 | 3.3403 |
| 2.7583 | 2.0 | 5 | 3.2177 |
| 3.988 | 2.8 | 7 | 3.1077 |
| 2.548 | 4.0 | 10 | 2.9435 |
| 3.6494 | 4.8 | 12 | 2.8515 |
| 2.3538 | 6.0 | 15 | 2.7460 |
| 3.4301 | 6.8 | 17 | 2.6985 |
| 2.251 | 8.0 | 20 | 2.6650 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
- Library
- peft
- License
- llama2
- Created
- Jun 18, 2024
- Updated
- Jun 18, 2024