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contemmcm/
edaf807035033ae550de85b6e9f46fc8

Name: edaf807035033ae550de85b6e9f46fc8
Rating: 2.5 (5 reviews)

generated_from_trainer

meta-llama/Llama-3.2-1B

finetune

llama3.2

text-embeddings-inference

endpoints_compatible

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edaf807035033ae550de85b6e9f46fc8

This model is a fine-tuned version of meta-llama/Llama-3.2-1B on the nyu-mll/glue [cola] dataset. It achieves the following results on the evaluation set:

Loss: 2.8355
Data Size: 1.0
Epoch Runtime: 39.3285
Accuracy: 0.6816
F1 Macro: 0.4955
Rouge1: 0.6826
Rouge2: 0.0
Rougel: 0.6816
Rougelsum: 0.6816

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	Rouge1	Rougel	Rougelsum
No log	0	0	3.7470	0	2.5636	0.4990	0.4971	0.4980	0.5	0.4990
No log	1	267	17.4966	0.0078	2.7785	0.6875	0.4074	0.6885	0.6885	0.6875
No log	2	534	2.5784	0.0156	3.9404	0.6436	0.5012	0.6426	0.6445	0.6436
No log	3	801	5.6768	0.0312	6.1631	0.6406	0.5008	0.6406	0.6396	0.6406
No log	4	1068	2.5512	0.0625	7.4907	0.6885	0.4078	0.6895	0.6885	0.6885
0.3145	5	1335	2.8096	0.125	10.2584	0.6885	0.4078	0.6895	0.6885	0.6885
3.323	6	1602	4.2677	0.25	14.7420	0.6885	0.4078	0.6895	0.6885	0.6885
2.8374	7	1869	2.4697	0.5	23.8492	0.6885	0.4078	0.6895	0.6885	0.6885
2.5821	8.0	2136	2.5515	1.0	42.5746	0.6602	0.5224	0.6611	0.6602	0.6611
2.3962	9.0	2403	2.5414	1.0	41.4768	0.6592	0.5596	0.6592	0.6592	0.6592
2.1462	10.0	2670	3.1376	1.0	41.7784	0.6855	0.5178	0.6855	0.6855	0.6855
1.9416	11.0	2937	2.8355	1.0	39.3285	0.6816	0.4955	0.6826	0.6816	0.6816

Framework versions

Transformers 4.57.0
Pytorch 2.8.0+cu128
Datasets 4.3.0
Tokenizers 0.22.1

contemmcm/edaf807035033ae550de85b6e9f46fc8

edaf807035033ae550de85b6e9f46fc8

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

contemmcm/
edaf807035033ae550de85b6e9f46fc8