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ls155981/
my-finetuned-model-trian500

Name: my-finetuned-model-trian500
Availability: InStock

generated_from_trainer

deepseek-ai/DeepSeek-R1-Distill-Qwen-7B

adapter

other

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train_2025-04-18-12-01-41

This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-7B on the myself dataset. It achieves the following results on the evaluation set:

Loss: 1.2590
Num Input Tokens Seen: 5421296

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 2.0

Training results

Training Loss	Epoch	Step	Validation Loss	Input Tokens Seen
1.3374	0.4	100	1.3061	1086960
1.3909	0.8	200	1.2780	2169920
1.3721	1.2	300	1.2654	3249536
1.2345	1.6	400	1.2597	4339360
1.2265	2.0	500	1.2590	5421296

Framework versions

PEFT 0.14.0
Transformers 4.51.1
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1

ls155981/my-finetuned-model-trian500

train_2025-04-18-12-01-41

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ls155981/
my-finetuned-model-trian500