Jais-AOU / README.md
astroa7m's picture
Jais_AOU
2157911 verified
---
library_name: transformers
license: apache-2.0
base_model: inceptionai/jais-family-590m-chat
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Jais-AOU
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. -->
# Jais-AOU
This model is a fine-tuned version of [inceptionai/jais-family-590m-chat](https://huggingface.co./inceptionai/jais-family-590m-chat) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7540
## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 12
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 1.1215 | 1.7699 | 50 | 1.1407 |
| 0.5782 | 3.5398 | 100 | 0.8883 |
| 0.3542 | 5.3097 | 150 | 0.7643 |
| 0.2372 | 7.0796 | 200 | 0.7418 |
| 0.203 | 8.8496 | 250 | 0.7372 |
| 0.1891 | 10.6195 | 300 | 0.7540 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0