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NemesisX00/
important_phrase_finder

Name: important_phrase_finder
Availability: InStock

tensorboard

safetensors

distilbert

generated_from_trainer

distilbert/distilbert-base-uncased

finetune

apache-2.0

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important_phrase_finder

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

Loss: 0.8366
Precision: 0.3250
Recall: 0.0904
F1: 0.1414
Accuracy: 0.6376

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-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 5
total_train_batch_size: 40
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	0.2647	100	0.8560	0.3347	0.0505	0.0878	0.6316
No log	0.5294	200	0.8479	0.3202	0.0663	0.1098	0.6341
No log	0.7941	300	0.8423	0.3127	0.0778	0.1246	0.6355
No log	1.0588	400	0.8409	0.3303	0.0811	0.1303	0.6368
0.8194	1.3235	500	0.8388	0.3257	0.0831	0.1325	0.6373
0.8194	1.5881	600	0.8371	0.3203	0.0868	0.1366	0.6373
0.8194	1.8528	700	0.8366	0.3250	0.0904	0.1414	0.6376

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1

NemesisX00/important_phrase_finder

important_phrase_finder

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

NemesisX00/
important_phrase_finder