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qwq_finetuned_results_chat_finetune – AI Model by Pedro13543 | AlphaNeural AI
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Pedro13543
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qwq_finetuned_results_chat_finetune
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transformers
tensorboard
safetensors
llama
text-generation
generated_from_trainer
Pedro13543/qwq_finetune_result
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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qwq_finetuned_results_chat_finetune
This model is a fine-tuned version of
Pedro13543/qwq_finetune_result
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 1.8502
eval_runtime: 269.2415
eval_samples_per_second: 3.714
eval_steps_per_second: 0.464
epoch: 0.7394
step: 600
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: 0.0002
train_batch_size: 6
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 12
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 30
training_steps: 3000
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1
