twscrape-prepared-regression-e5-base-4k-1epochs

AlekseyKorshuk/twscrape-prepared-regression-e5-base-4k-1epochs

twscrape-prepared-regression-e5-base-4k-1epochs is a text classification model from AlekseyKorshuk. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Mar 12, 2025
Updated: Mar 12, 2025
SHA: cbea7881

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Base models

dwzhu/e5-base-4k

Model card

From the Hugging Face model README

twscrape-prepared-regression-e5-base-4k-1epochs

This model is a fine-tuned version of dwzhu/e5-base-4k on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.4763
Mse: 0.0003
Target 0 Mse: 0.0009
Target 0 Distributions: <wandb.sdk.data_types.image.Image object at 0x7f4ad953e560>
Target 0 Error Distribution: <wandb.sdk.data_types.image.Image object at 0x7f4ad255e020>
Target 1 Mse: 0.0004
Target 1 Distributions: <wandb.sdk.data_types.image.Image object at 0x7f4a7065c220>
Target 1 Error Distribution: <wandb.sdk.data_types.image.Image object at 0x7f4a703571f0>
Target 2 Mse: 0.0001
Target 2 Distributions: <wandb.sdk.data_types.image.Image object at 0x7f4ad2677160>
Target 2 Error Distribution: <wandb.sdk.data_types.image.Image object at 0x7f4ad259fee0>
Target 3 Mse: 0.0000
Target 3 Distributions: <wandb.sdk.data_types.image.Image object at 0x7f4a70271000>
Target 3 Error Distribution: <wandb.sdk.data_types.image.Image object at 0x7f4a704e3340>

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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 256
total_eval_batch_size: 256
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Mse	Target 0 Mse	Target 0 Distributions	Target 0 Error Distribution	Target 1 Mse	Target 1 Distributions	Target 1 Error Distribution	Target 2 Mse	Target 2 Distributions	Target 2 Error Distribution	Target 3 Distributions	Target 3 Error Distribution
1.877	0.1060	100	1.7400	0.0005	0.0013	<wandb.sdk.data_types.image.Image object at 0x7f4ad94e78e0>	<wandb.sdk.data_types.image.Image object at 0x7f4ad8190f40>	0.0007	<wandb.sdk.data_types.image.Image object at 0x7f4ad275cee0>	<wandb.sdk.data_types.image.Image object at 0x7f4ad27d7dc0>	0.0001	<wandb.sdk.data_types.image.Image object at 0x7f4ad27805b0>	<wandb.sdk.data_types.image.Image object at 0x7f4ad2677880>	<wandb.sdk.data_types.image.Image object at 0x7f4ad82dcb20>	<wandb.sdk.data_types.image.Image object at 0x7f4ad25df820>
1.6396	0.2121	200	1.5920	0.0004	0.0010	<wandb.sdk.data_types.image.Image object at 0x7f4ad26313f0>	<wandb.sdk.data_types.image.Image object at 0x7f4a7065f3a0>	0.0005	<wandb.sdk.data_types.image.Image object at 0x7f4a70354850>	<wandb.sdk.data_types.image.Image object at 0x7f4a703c7520>	0.0001	<wandb.sdk.data_types.image.Image object at 0x7f4a704a3f70>	<wandb.sdk.data_types.image.Image object at 0x7f4a7053d3f0>	<wandb.sdk.data_types.image.Image object at 0x7f4a70251570>	<wandb.sdk.data_types.image.Image object at 0x7f4a701062f0>
1.6221	0.3181	300	1.5405	0.0004	0.0010	<wandb.sdk.data_types.image.Image object at 0x7f4a702709d0>	<wandb.sdk.data_types.image.Image object at 0x7f4a68770bb0>	0.0004	<wandb.sdk.data_types.image.Image object at 0x7f4a701dd810>	<wandb.sdk.data_types.image.Image object at 0x7f4a686ef8b0>	0.0001	<wandb.sdk.data_types.image.Image object at 0x7f4a684b3760>	<wandb.sdk.data_types.image.Image object at 0x7f4a6856e4a0>	<wandb.sdk.data_types.image.Image object at 0x7f4a68326f50>	<wandb.sdk.data_types.image.Image object at 0x7f4a68396e30>
1.6938	0.4242	400	1.5262	0.0004	0.0010	<wandb.sdk.data_types.image.Image object at 0x7f4a6835e2c0>	<wandb.sdk.data_types.image.Image object at 0x7f4a6812d6f0>	0.0004	<wandb.sdk.data_types.image.Image object at 0x7f4a627dec80>	<wandb.sdk.data_types.image.Image object at 0x7f4a627127d0>	0.0001	<wandb.sdk.data_types.image.Image object at 0x7f4a6267fd00>	<wandb.sdk.data_types.image.Image object at 0x7f4a6251fac0>	<wandb.sdk.data_types.image.Image object at 0x7f4a62402470>	<wandb.sdk.data_types.image.Image object at 0x7f4a6255ac20>
1.5146	0.5302	500	1.5135	0.0003	0.0009	<wandb.sdk.data_types.image.Image object at 0x7f4a62435840>	<wandb.sdk.data_types.image.Image object at 0x7f4a681aab90>	0.0003	<wandb.sdk.data_types.image.Image object at 0x7f4a626e6a10>	<wandb.sdk.data_types.image.Image object at 0x7f4a62650d60>	0.0001	<wandb.sdk.data_types.image.Image object at 0x7f4a683957b0>	<wandb.sdk.data_types.image.Image object at 0x7f4a701ddc60>	<wandb.sdk.data_types.image.Image object at 0x7f4a702727a0>	<wandb.sdk.data_types.image.Image object at 0x7f4a687729e0>
1.3711	0.6363	600	1.4981	0.0003	0.0009	<wandb.sdk.data_types.image.Image object at 0x7f4a7065c4c0>	<wandb.sdk.data_types.image.Image object at 0x7f4a704e2ef0>	0.0003	<wandb.sdk.data_types.image.Image object at 0x7f4a70676e00>	<wandb.sdk.data_types.image.Image object at 0x7f4a707d5ea0>	0.0001	<wandb.sdk.data_types.image.Image object at 0x7f4a706435e0>	<wandb.sdk.data_types.image.Image object at 0x7f4ad81d3940>	<wandb.sdk.data_types.image.Image object at 0x7f4ad953f7c0>	<wandb.sdk.data_types.image.Image object at 0x7f4ad92842e0>
1.7871	0.7423	700	1.4821	0.0003	0.0009	<wandb.sdk.data_types.image.Image object at 0x7f4ad94e7700>	<wandb.sdk.data_types.image.Image object at 0x7f4a68194670>	0.0003	<wandb.sdk.data_types.image.Image object at 0x7f4a6830ffa0>	<wandb.sdk.data_types.image.Image object at 0x7f4ad2832cb0>	0.0001	<wandb.sdk.data_types.image.Image object at 0x7f4ad26f7d60>	<wandb.sdk.data_types.image.Image object at 0x7f4a7022bfa0>	<wandb.sdk.data_types.image.Image object at 0x7f4a6851a8f0>	<wandb.sdk.data_types.image.Image object at 0x7f4a7064edd0>
1.5098	0.8484	800	1.4727	0.0003	0.0009	<wandb.sdk.data_types.image.Image object at 0x7f4a684b9d50>	<wandb.sdk.data_types.image.Image object at 0x7f4a7047dea0>	0.0004	<wandb.sdk.data_types.image.Image object at 0x7f4a6249e470>	<wandb.sdk.data_types.image.Image object at 0x7f4a70519fc0>	0.0001	<wandb.sdk.data_types.image.Image object at 0x7f4a686befb0>	<wandb.sdk.data_types.image.Image object at 0x7f4a7051b160>	<wandb.sdk.data_types.image.Image object at 0x7f4a623732e0>	<wandb.sdk.data_types.image.Image object at 0x7f4a6223ad40>
1.3582	0.9544	900	1.4762	0.0003	0.0009	<wandb.sdk.data_types.image.Image object at 0x7f4a622387c0>	<wandb.sdk.data_types.image.Image object at 0x7f4a6249c3a0>	0.0004	<wandb.sdk.data_types.image.Image object at 0x7f4a6223a5c0>	<wandb.sdk.data_types.image.Image object at 0x7f4a7022b040>	0.0001	<wandb.sdk.data_types.image.Image object at 0x7f4ad27c7310>	<wandb.sdk.data_types.image.Image object at 0x7f4ad9231c90>	<wandb.sdk.data_types.image.Image object at 0x7f4ad955d1e0>	<wandb.sdk.data_types.image.Image object at 0x7f4ad27539d0>

Framework versions

Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 3.0.1
Tokenizers 0.21.0

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Mar 12, 2025
Updated: Mar 12, 2025