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Shakhovak/
llama-7b-absa-MT-restaurants

Name: llama-7b-absa-MT-restaurants
Availability: InStock

generated_from_trainer

baffo32/decapoda-research-llama-7B-hf

finetune

other

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llama-7b-absa-MT-restaurants

This model is a fine-tuned version of baffo32/decapoda-research-llama-7B-hf on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0019

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: 0.0003
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: 2
training_steps: 1200
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.0917	0.13	40	0.0298
0.0249	0.25	80	0.0229
0.0216	0.38	120	0.0205
0.0215	0.51	160	0.0186
0.0181	0.63	200	0.0160
0.0148	0.76	240	0.0140
0.0141	0.89	280	0.0131
0.0121	1.01	320	0.0120
0.0077	1.14	360	0.0109
0.0074	1.27	400	0.0101
0.0062	1.39	440	0.0102
0.0076	1.52	480	0.0093
0.0072	1.65	520	0.0084
0.005	1.77	560	0.0066
0.0052	1.9	600	0.0054
0.0033	2.03	640	0.0053
0.0023	2.15	680	0.0056
0.002	2.28	720	0.0046
0.0021	2.41	760	0.0048
0.0019	2.53	800	0.0039
0.0014	2.66	840	0.0034
0.0013	2.78	880	0.0033
0.0012	2.91	920	0.0030
0.001	3.04	960	0.0026
0.0004	3.16	1000	0.0025
0.0004	3.29	1040	0.0022
0.0002	3.42	1080	0.0021
0.0003	3.54	1120	0.0021
0.0002	3.67	1160	0.0019
0.0003	3.8	1200	0.0019

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Shakhovak/llama-7b-absa-MT-restaurants

llama-7b-absa-MT-restaurants

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Shakhovak/
llama-7b-absa-MT-restaurants