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oreva_-_sft_op-awq
RichardErkhov/oreva_-_sft_op-awq
oreva_-_sft_op-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.
sft_op - AWQ
- Model creator: https://huggingface.co/oreva/
- Original model: https://huggingface.co/oreva/sft_op/
Original model description:
license: other base_model: facebook/opt-350m tags:
- trl
- sft
- generated_from_trainer model-index:
- name: sft_op 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. -->
sft_op
This model is a fine-tuned version of facebook/opt-350m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0723
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: 1.41e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- opt
- Created
- Dec 8, 2024
- Updated
- Dec 8, 2024