|
--- |
|
license: apache-2.0 |
|
base_model: Dhahlan2000/Chitti-Base-model-for-GPT-v11 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- bleu |
|
model-index: |
|
- name: Chitti-Large-model-for-GPT-v12 |
|
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. --> |
|
|
|
# Chitti-Large-model-for-GPT-v12 |
|
|
|
This model is a fine-tuned version of [Dhahlan2000/Chitti-Base-model-for-GPT-v11](https://huggingface.co/Dhahlan2000/Chitti-Base-model-for-GPT-v11) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.6474 |
|
- Bleu: 0.0 |
|
- Gen Len: 2.9375 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 6 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
|
|:-------------:|:-----:|:----:|:---------------:|:----:|:-------:| |
|
| No log | 1.0 | 98 | 2.8825 | 0.0 | 2.9375 | |
|
| No log | 2.0 | 196 | 2.7710 | 0.0 | 3.0 | |
|
| No log | 3.0 | 294 | 2.6990 | 0.0 | 2.875 | |
|
| No log | 4.0 | 392 | 2.6685 | 0.0 | 2.9375 | |
|
| No log | 5.0 | 490 | 2.6490 | 0.0 | 2.9375 | |
|
| 3.4263 | 6.0 | 588 | 2.6474 | 0.0 | 2.9375 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.2 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
