bloom-560m-finetuned-wikilingua-spanish-summarization – AI Model by mrm8488 | AlphaNeural AI

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mrm8488/
bloom-560m-finetuned-wikilingua-spanish-summarization

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text-generation

generated_from_trainer

Spanish summarizing

bigscience-bloom-rail-1.0

autotrain_compatible

text-generation-inference

endpoints_compatible

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bloom-560m-finetuned-wikilingua-spanish-summarization

This model is a fine-tuned version of bigscience/bloom-560m on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.1223

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: 5e-05
train_batch_size: 1
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.4768	0.07	500	2.4828
2.428	0.14	1000	2.4125
2.4	0.2	1500	2.3927
2.3685	0.27	2000	2.3506
2.3287	0.34	2500	2.3340
2.3196	0.41	3000	2.3284
2.2885	0.48	3500	2.3005
2.2646	0.55	4000	2.2944
2.2676	0.68	5000	2.2575
2.2267	0.82	6000	2.2281
2.1971	0.95	7000	2.2018
2.009	1.09	8000	2.1925
1.9989	1.23	9000	2.1765
2.0131	1.36	10000	2.1666
1.9765	1.5	11000	2.1514
1.9449	1.64	12000	2.1404
1.9399	1.77	13000	2.1297
1.957	1.91	14000	2.1223

Framework versions

Transformers 4.23.0.dev0
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.13.0