metadata
license: llama2
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: sarvamai/OpenHathi-7B-Hi-v0.1-Base
datasets:
- generator
model-index:
- name: openhathi_instruct
results: []
openhathi_instruct
This model is a fine-tuned version of sarvamai/OpenHathi-7B-Hi-v0.1-Base on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.2988
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: 0.0005
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 4 | 2.5575 |
| 2.8332 | 2.0 | 8 | 1.8445 |
| 2.0322 | 3.0 | 12 | 1.6430 |
| 1.6405 | 4.0 | 16 | 1.4686 |
| 1.3921 | 5.0 | 20 | 1.3654 |
| 1.3921 | 6.0 | 24 | 1.3289 |
| 1.1752 | 7.0 | 28 | 1.3054 |
| 1.0246 | 8.0 | 32 | 1.3079 |
| 0.9262 | 9.0 | 36 | 1.2984 |
| 0.852 | 10.0 | 40 | 1.2988 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1