wav2vec2-large-xls-r-300m-hungarian-colab

README.md

@@ -19,9 +19,9 @@ This model is a fine-tuned version of [facebook/wav2vec2-lv-60-espeak-cv-ft](htt
 It achieves the following results on the evaluation set:
 - eval_loss: 17417.8594
 - eval_wer: 0.9967
-- eval_runtime: 129.9663
-- eval_samples_per_second: 3.847
-- eval_steps_per_second: 0.485
+- eval_runtime: 127.9793
+- eval_samples_per_second: 3.907
+- eval_steps_per_second: 0.492
 - step: 0
 
 ## Model description
@@ -50,7 +50,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 30
+- num_epochs: 50
 - mixed_precision_training: Native AMP
 
 ### Framework versions

runs/Nov26_11-13-36_3bcc1816d3f4/events.out.tfevents.1700997355.3bcc1816d3f4.12518.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:026b35756d0a2fb923c351557984d674ef1178ebe88473650fb95ecb489d8990
-size 341
+oid sha256:0737c30defb7a1ddddf8628f5691e7be7dcbdf078209d7de6d4960c908204ec1
+size 6418

runs/Nov26_11-39-30_3bcc1816d3f4/events.out.tfevents.1700998903.3bcc1816d3f4.18688.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2fde2172fa4e1ad28124bb4ece0942147728cc9b38f75c5fee807c033a4aba1e
+size 341

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:93e3f819981c04ee133368c8cf1f52ac3937a3dcb6d5386da5eb128beb8016e4
+oid sha256:24be090d39226a5edec497aa24ae215b432d2cd2bea688edd6b2590339ad530c
 size 4600