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ICT3214-Group5_-_MD5_gpt_neo_L_v1.0.0-4bits
RichardErkhov/ICT3214-Group5_-_MD5_gpt_neo_L_v1.0.0-4bits
ICT3214-Group5_-_MD5_gpt_neo_L_v1.0.0-4bits 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.
MD5_gpt_neo_L_v1.0.0 - bnb 4bits
- Model creator: https://huggingface.co/ICT3214-Group5/
- Original model: https://huggingface.co/ICT3214-Group5/MD5_gpt_neo_L_v1.0.0/
Original model description:
library_name: transformers license: mit base_model: EleutherAI/gpt-neo-1.3B tags:
- generated_from_trainer metrics:
- rouge model-index:
- name: MD5_gpt_neo_L_v1.0.0 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. -->
MD5_gpt_neo_L_v1.0.0
This model is a fine-tuned version of EleutherAI/gpt-neo-1.3B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3792
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel |
|---|---|---|---|---|---|---|
| No log | 0.9935 | 77 | 11.6516 | 0.0023 | 0.0 | 0.0023 |
| No log | 2.0 | 155 | 10.0057 | 0.0129 | 0.0 | 0.0129 |
| No log | 2.9935 | 232 | 11.0702 | 0.0 | 0.0 | 0.0 |
| No log | 4.0 | 310 | 0.6714 | 0.0 | 0.0 | 0.0 |
| No log | 4.9677 | 385 | 0.3792 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 2.14.4
- Tokenizers 0.19.1
- Type
- gpt_neo
- Created
- Jan 22, 2025
- Updated
- Jan 22, 2025