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Sanjaytfg/
openhathi_instruct

Name: openhathi_instruct
Availability: InStock

generated_from_trainer

generator

sarvamai/OpenHathi-7B-Hi-v0.1-Base

adapter

llama2

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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

Sanjaytfg/openhathi_instruct

openhathi_instruct

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Sanjaytfg/
openhathi_instruct