muaalem-model-v0

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the None dataset. It achieves the following results on the evaluation set:

Model description

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The following hyperparameters were used during training:

learning_rate: 5e-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: constant
lr_scheduler_warmup_ratio: 0.2
num_epochs: 1

Training Loss	Epoch	Step	Average Per	Validation Loss	Per Ghonna	Per Hams Or Jahr	Per Istitala	Per Itbaq	Per Phonemes	Per Qalqla	Per Safeer	Per Shidda Or Rakhawa	Per Tafashie	Per Tafkheem Or Taqeeq	Per Tikraar
0.1776	0.2	712	0.0338	0.0562	0.0022	0.0023	0.0015	0.0017	0.0066	0.0084	0.0016	0.3347	0.0013	0.0035	0.0077
0.0287	0.4	1424	0.0080	0.0150	0.0016	0.0016	0.0011	0.0012	0.0048	0.0056	0.0013	0.0601	0.0010	0.0034	0.0064
0.0142	0.6	2136	0.0060	0.0102	0.0014	0.0013	0.0009	0.0010	0.0032	0.0062	0.0011	0.0426	0.0008	0.0021	0.0054
0.0123	0.8	2848	0.0052	0.0105	0.0015	0.0016	0.0010	0.0012	0.0032	0.0037	0.0012	0.0359	0.0010	0.0020	0.0046
0.0112	1.0	3560	0.0057	0.0092	0.0012	0.0013	0.0008	0.0009	0.0027	0.0036	0.0010	0.0457	0.0008	0.0014	0.0035