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HiTZ/
alpaca-lora-7b-en-pt-es-ca-eu-gl-at

Name: alpaca-lora-7b-en-pt-es-ca-eu-gl-at
Availability: InStock

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HiTZ/alpaca_mt

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alpaca-lora-7b-en-pt-es-ca-eu-gl-at

This model is a fine-tuned version of decapoda-research/llama-7b-hf on the HiTZ/alpaca_mt ['en', 'pt', 'es', 'ca', 'eu', 'gl', 'at'] dataset. It achieves the following results on the evaluation set:

Loss: 1.0667

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: 26
eval_batch_size: 26
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 5
total_train_batch_size: 130
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.3772	0.04	100	1.3860
1.3043	0.07	200	1.2904
1.2307	0.11	300	1.2409
1.2132	0.15	400	1.2086
1.1987	0.19	500	1.1854
1.1551	0.22	600	1.1660
1.1613	0.26	700	1.1516
1.144	0.3	800	1.1407
1.1494	0.34	900	1.1297
1.1072	0.37	1000	1.1196
1.1302	0.41	1100	1.1117
1.1074	0.45	1200	1.1058
1.0846	0.48	1300	1.0995
1.086	0.52	1400	1.0935
1.0793	0.56	1500	1.0889
1.0931	0.6	1600	1.0847
1.0905	0.63	1700	1.0804
1.0793	0.67	1800	1.0775
1.0795	0.71	1900	1.0748
1.0861	0.74	2000	1.0725
1.0881	0.78	2100	1.0705
1.0673	0.82	2200	1.0691
1.0626	0.86	2300	1.0681
1.0633	0.89	2400	1.0674
1.0601	0.93	2500	1.0669
1.0849	0.97	2600	1.0667

Framework versions

Transformers 4.28.0.dev0
Pytorch 2.0.0+cu117
Datasets 2.10.1
Tokenizers 0.13.2

HiTZ/alpaca-lora-7b-en-pt-es-ca-eu-gl-at

alpaca-lora-7b-en-pt-es-ca-eu-gl-at

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

HiTZ/
alpaca-lora-7b-en-pt-es-ca-eu-gl-at