SmolLM-135M-Instruct_finetuned
This model is a fine-tuned version of HuggingFaceTB/SmolLM-135M-Instruct on an unknown dataset.
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2
Training results
Framework versions
- Transformers 4.45.2
- Pytorch 2.0.1
- Datasets 3.0.1
- Tokenizers 0.20.1
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Inference Providers
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This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for yonas/SmolLM-135M-Instruct-grammarly
Base model
HuggingFaceTB/SmolLM-135M
Quantized
HuggingFaceTB/SmolLM-135M-Instruct