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LeninGF/
fge-robos-qa-model

Name: fge-robos-qa-model
Rating: 2.5 (6 reviews)

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fge-robos-qa-model

This model is a fine-tuned version of mrm8488/bert-base-spanish-wwm-cased-finetuned-spa-squad2-es on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Exact	F1	Total	Hasans Exact	Hasans F1	Hasans Total	Best Exact	Best F1
No log	1.0	58	0.8963	0.0077	54.2077	81.4281	915	54.2077	81.4281	915	54.2077	81.4281
No log	2.0	116	0.9578	0.0077	54.9727	82.3694	915	54.9727	82.3694	915	54.9727	82.3694
No log	3.0	174	1.0088	0.0077	55.7377	82.8805	915	55.7377	82.8805	915	55.7377	82.8805
No log	4.0	232	1.0865	0.0077	54.4262	81.7459	915	54.4262	81.7459	915	54.4262	81.7459
No log	5.0	290	1.2034	0.0077	53.7705	81.5328	915	53.7705	81.5328	915	53.7705	81.5328
No log	6.0	348	1.2822	0.0077	54.2077	81.9985	915	54.2077	81.9985	915	54.2077	81.9985
No log	7.0	406	1.3357	0.0077	54.2077	81.7294	915	54.2077	81.7294	915	54.2077	81.7294
No log	8.0	464	1.3738	0.0077	54.6448	81.9526	915	54.6448	81.9526	915	54.6448	81.9526
0.4292	9.0	522	1.4215	0.0077	54.7541	81.7385	915	54.7541	81.7385	915	54.7541	81.7385
0.4292	10.0	580	1.4342	0.0077	53.4426	81.3729	915	53.4426	81.3729	915	53.4426	81.3729