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bloom-560m-Forecast-V1 – AI Model by sai1881 | AlphaNeural AI
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bloom-560m-Forecast-V1
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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-Forecast-V1
This model is a fine-tuned version of
bigscience/bloom-560m
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 1.8800
eval_runtime: 170.469
eval_samples_per_second: 42.154
eval_steps_per_second: 5.274
epoch: 2.0
step: 1798
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Framework versions
Transformers 4.28.1
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
