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
- Downloads last month
- 23
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for Pedro13543/qwq_finetuned_results_chat_finetune
Base model
HuggingFaceTB/SmolLM-135M
Quantized
nisten/Biggie-SmoLlm-0.15B-Base
Finetuned
Pedro13543/qwq_finetune_result