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contemmcm/
7d5600f6db5efa1607715804b3db1be3

Name: 7d5600f6db5efa1607715804b3db1be3
Rating: 2.5 (6 reviews)

generated_from_trainer

distilbert/distilbert-base-uncased

finetune

apache-2.0

text-embeddings-inference

endpoints_compatible

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7d5600f6db5efa1607715804b3db1be3

This model is a fine-tuned version of distilbert/distilbert-base-uncased on the contemmcm/cls_mmlu dataset. It achieves the following results on the evaluation set:

Loss: 2.2894
Data Size: 1.0
Epoch Runtime: 13.4921
Accuracy: 0.2553
F1 Macro: 0.2529

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	1.3867	0	0.9739	0.2473	0.1622
No log	1	438	1.3979	0.0078	1.2727	0.2533	0.1240
No log	2	876	1.3872	0.0156	1.2785	0.2586	0.1644
No log	3	1314	1.3909	0.0312	1.5427	0.2540	0.1037
No log	4	1752	1.3914	0.0625	1.9336	0.2473	0.1004
0.0778	5	2190	1.3924	0.125	2.6720	0.2626	0.1416
0.1834	6	2628	1.3844	0.25	4.2000	0.2646	0.2083
1.3843	7	3066	1.3803	0.5	7.3248	0.2806	0.2141
1.3721	8.0	3504	1.3810	1.0	13.4814	0.2819	0.2364
1.2113	9.0	3942	1.4950	1.0	13.7079	0.2666	0.2585
0.8167	10.0	4380	1.8354	1.0	13.1174	0.2600	0.2550
0.5093	11.0	4818	2.2894	1.0	13.4921	0.2553	0.2529

Framework versions

Transformers 4.57.0
Pytorch 2.8.0+cu128
Datasets 4.3.0
Tokenizers 0.22.1

contemmcm/7d5600f6db5efa1607715804b3db1be3

7d5600f6db5efa1607715804b3db1be3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

contemmcm/
7d5600f6db5efa1607715804b3db1be3