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bloom-560m-finetuned-the-stack-cobol – AI Model by mrm8488 | AlphaNeural AI
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bloom-560m-finetuned-the-stack-cobol
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transformers
pytorch
tensorboard
bloom
text-generation
generated_from_trainer
bigscience-bloom-rail-1.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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bloom-560m-finetuned-the-stack-cobol
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: 1.0341
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
0.7749
1.31
1000
1.0341
Framework versions
Transformers 4.24.0
Pytorch 1.13.0+cu117
Datasets 2.5.1
Tokenizers 0.13.0
