AYA-CLM-DSM-NoOerlap – AI Model by ArmanAsq | AlphaNeural AI

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ArmanAsq/
AYA-CLM-DSM-NoOerlap

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text-generation

generated_from_trainer

CohereLabs/aya-23-8B

autotrain_compatible

text-generation-inference

endpoints_compatible

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AYA-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: 2.3013

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-06
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	6	2.8532
No log	2.0	12	2.6598
No log	3.0	18	2.5029
No log	4.0	24	2.4218
No log	5.0	30	2.3694
No log	6.0	36	2.3356
No log	7.0	42	2.3146
No log	8.0	48	2.3054
No log	9.0	54	2.3027
No log	10.0	60	2.3011

Framework versions

Transformers 4.41.2
Pytorch 2.3.1
Datasets 2.20.0
Tokenizers 0.19.1