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ellen625_-_opt_2.7b_wiki_ce-awq
RichardErkhov/ellen625_-_opt_2.7b_wiki_ce-awq
ellen625_-_opt_2.7b_wiki_ce-awq is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
opt_2.7b_wiki_ce - AWQ
- Model creator: https://huggingface.co/ellen625/
- Original model: https://huggingface.co/ellen625/opt_2.7b_wiki_ce/
Original model description:
license: other tags:
- generated_from_trainer base_model: facebook/opt-1.3b model-index:
- name: opt_2.7b_wiki_ce results: []
<!-- 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. -->
opt_2.7b_wiki_ce
This model is a fine-tuned version of facebook/opt-1.3b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4190
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.6033 | 0.4354 | 500 | 2.4562 |
| 2.5267 | 0.8707 | 1000 | 2.4247 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.2
- Datasets 2.19.1
- Tokenizers 0.19.1
- Type
- opt
- Created
- Jan 22, 2025
- Updated
- Jan 22, 2025