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contemmcm/
a176e17ab6c6863c4ff58dc7764affa0

generated_from_trainer

meta-llama/Llama-3.2-1B-Instruct

finetune

llama3.2

text-embeddings-inference

endpoints_compatible

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a176e17ab6c6863c4ff58dc7764affa0

This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on the contemmcm/trec dataset. It achieves the following results on the evaluation set:

Loss: 1.5289
Data Size: 1.0
Epoch Runtime: 29.1335
Accuracy: 0.9146
F1 Macro: 0.9316

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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 32
total_eval_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Data Size	Epoch Runtime	Accuracy	F1 Macro
No log	0	0	15.1356	0	1.6401	0.1792	0.1176
No log	1	170	14.2990	0.0078	1.6615	0.2917	0.1892
No log	2	340	3.5879	0.0156	2.6656	0.7479	0.5826
No log	3	510	2.2631	0.0312	5.2507	0.8521	0.7544
No log	4	680	1.1023	0.0625	6.1611	0.9354	0.9149
0.2064	5	850	2.0139	0.125	8.5063	0.8417	0.8115
0.2064	6	1020	1.5380	0.25	11.2561	0.9104	0.8875
1.1831	7	1190	1.5048	0.5	16.9064	0.9292	0.9263
0.7338	8.0	1360	1.5289	1.0	29.1335	0.9146	0.9316

Framework versions

Transformers 4.57.0
Pytorch 2.8.0+cu128
Datasets 4.3.0
Tokenizers 0.22.1

contemmcm/a176e17ab6c6863c4ff58dc7764affa0

a176e17ab6c6863c4ff58dc7764affa0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

contemmcm/
a176e17ab6c6863c4ff58dc7764affa0