bloom-560m-finetuned-aeslc – AI Model by mrm8488 | AlphaNeural AI

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mrm8488/
bloom-560m-finetuned-aeslc

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text-generation

generated_from_trainer

bigscience-bloom-rail-1.0

autotrain_compatible

text-generation-inference

endpoints_compatible

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bloom-560m-finetuned-aeslc

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: 3.4199

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: 1
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: 6
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.994	0.62	200	3.0855
2.4454	1.23	400	3.0508
2.3019	1.85	600	2.9731
1.7647	2.46	800	3.1036
1.636	3.08	1000	3.4199
1.2469	3.69	1200	3.5381
0.8443	4.31	1400	4.0697
0.8214	4.92	1600	4.0181
0.5355	5.54	1800	4.7636

Framework versions

Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1