19c9470b-7c4c-4bce-b147-133395cc78d3

This model is a fine-tuned version of unsloth/SmolLM-1.7B-Instruct on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.9071

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: 0.000203
• train_batch_size: 4
• eval_batch_size: 4
• seed: 30
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 50
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0000	1	2.2472
2.0014	0.0015	50	1.9972
2.0669	0.0031	100	1.9456
2.0544	0.0046	150	1.9328
2.043	0.0062	200	1.9235
2.0116	0.0077	250	1.9160
2.0465	0.0092	300	1.9170
2.0272	0.0108	350	1.9102
2.025	0.0123	400	1.9075
2.1645	0.0139	450	1.9057
1.8561	0.0154	500	1.9071

Framework versions

• PEFT 0.13.2
• Transformers 4.46.0
• Pytorch 2.5.0+cu124
• Datasets 3.0.1
• Tokenizers 0.20.1