52a9fbb2-5c0d-43ed-ad44-dd3fba884b3f

This model is a fine-tuned version of fxmarty/tiny-random-GemmaForCausalLM on the None dataset. It achieves the following results on the evaluation set:

• Loss: 12.1835

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: 0.000214
• train_batch_size: 4
• eval_batch_size: 4
• seed: 140
• 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	12.4182
12.4045	0.0008	50	12.3781
12.2527	0.0015	100	12.2209
12.2396	0.0023	150	12.1951
12.2228	0.0031	200	12.1904
12.2151	0.0038	250	12.1887
12.2195	0.0046	300	12.1863
12.2138	0.0054	350	12.1844
12.2165	0.0061	400	12.1840
12.2145	0.0069	450	12.1835
12.2146	0.0077	500	12.1835

Framework versions

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