YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/model-cards#model-card-metadata)
Quantization made by Richard Erkhov.
gpt-neo-1.3B-cs-finetuning-7 - bnb 4bits
- Model creator: https://huggingface.co/KimByeongSu/
- Original model: https://huggingface.co/KimByeongSu/gpt-neo-1.3B-cs-finetuning-7/
Original model description:
license: mit tags: - generated_from_trainer base_model: EleutherAI/gpt-neo-1.3B model-index: - name: gpt-neo-1.3B-cs-finetuning-7 results: []
gpt-neo-1.3B-cs-finetuning-7
This model is a fine-tuned version of EleutherAI/gpt-neo-1.3B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5065
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.6057 | 1.0 | 1330 | 2.5252 |
| 2.1447 | 2.0 | 2660 | 2.4739 |
| 1.8436 | 3.0 | 3990 | 2.5065 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.1
- Datasets 2.12.0
- Tokenizers 0.15.1
- Downloads last month
- 2
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
HF Inference API was unable to determine this model's library.