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distilgpt2-CLM-DSM-NoOerlap – AI Model by ArmanAsq | AlphaNeural AI
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ArmanAsq
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distilgpt2-CLM-DSM-NoOerlap
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transformers
safetensors
cohere
text-generation
generated_from_trainer
conversational
CohereLabs/aya-23-8B
finetune
cc-by-nc-4.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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distilgpt2-CLM-DSM-NoOerlap
This model is a fine-tuned version of
CohereForAI/aya-23-8B
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.7748
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-06
train_batch_size: 16
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
110
1.8213
No log
2.0
220
1.7672
No log
3.0
330
1.7748
Framework versions
Transformers 4.41.2
Pytorch 2.2.1
Datasets 2.19.2
Tokenizers 0.19.1
