metadata
license: llama2
library_name: peft
tags:
- trl-sft
- generated_from_trainer
datasets:
- generator
base_model: sarvamai/OpenHathi-7B-Hi-v0.1-Base
model-index:
- name: OpenHathi-7B-Hi-v0.1-Instruct
results: []
OpenHathi-7B-Hi-v0.1-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: 0.9311
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 100
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.5099 | 1.0 | 175 | 0.9747 |
1.4435 | 2.0 | 351 | 0.9363 |
1.4369 | 2.99 | 525 | 0.9311 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0