metadata

license: llama2
library_name: peft
tags:
  - generated_from_trainer
base_model: meta-llama/Llama-2-7b-hf
model-index:
  - name: hindi-llama
    results: []

hindi-llama

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.1826
eval_runtime: 883.9468
eval_samples_per_second: 3.769
eval_steps_per_second: 3.769
epoch: 0.5627
step: 30000

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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
mixed_precision_training: Native AMP

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1