Model save

README.md

@@ -2,8 +2,6 @@
 license: mit
 base_model: facebook/w2v-bert-2.0
 tags:
-- automatic-speech-recognition
-- librispeech_asr
 - generated_from_trainer
 metrics:
 - wer
@@ -17,11 +15,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-bert-CV16-en-libri
 
-This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the LIBRISPEECH_ASR - CLEAN dataset.
+This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1331
-- Wer: 0.0997
-- Cer: 0.0264
+- Loss: 0.1077
+- Wer: 0.0717
+- Cer: 0.0197
 
 ## Model description
 
@@ -52,7 +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: 10000
-- num_epochs: 5.0
+- num_epochs: 7.0
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -63,9 +61,13 @@ The following hyperparameters were used during training:
 | 1.2899        | 1.26  | 500  | 0.2563 | 1.1471          | 0.7030 |
 | 0.5276        | 1.89  | 750  | 0.1127 | 0.4687          | 0.4114 |
 | 0.3313        | 2.52  | 1000 | 0.0659 | 0.2870          | 0.2577 |
-| 0.2089        | 3.16  | 1250 | 0.2079 | 0.1766          | 0.0445 |
-| 0.1634        | 3.79  | 1500 | 0.1687 | 0.1411          | 0.0366 |
-| 0.163         | 4.42  | 1750 | 0.1490 | 0.1163          | 0.0298 |
+| 0.2089        | 3.16  | 1250 | 0.0445 | 0.2079          | 0.1766 |
+| 0.1634        | 3.79  | 1500 | 0.0366 | 0.1687          | 0.1411 |
+| 0.1546        | 4.42  | 1750 | 0.1452 | 0.1138          | 0.0294 |
+| 0.1245        | 5.05  | 2000 | 0.1316 | 0.0973          | 0.0260 |
+| 0.1341        | 5.68  | 2250 | 0.1196 | 0.0867          | 0.0234 |
+| 0.0942        | 6.31  | 2500 | 0.1128 | 0.0794          | 0.0213 |
+| 0.0848        | 6.94  | 2750 | 0.1077 | 0.0717          | 0.0197 |
 
 
 ### Framework versions

emissions.csv

@@ -1,3 +1,4 @@
 timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
 2024-01-16T12:18:10,100ce0c1-abd3-4e89-a129-ac49a10532a2,codecarbon,5727.051881551743,0.48059596920304154,1.131922185780931,France,FRA,île-de-france,N,,
 2024-01-16T14:32:52,fc5dbc38-c7d4-40f7-94ab-dd0de4d1b430,codecarbon,4902.239959001541,0.33650212333732155,0.7925455962511117,France,FRA,île-de-france,N,,
+2024-01-16T16:44:29,be3ee4e5-8b23-482a-802c-91b438696e7d,codecarbon,6446.471297740936,0.453908136580529,1.069065749664906,France,FRA,île-de-france,N,,

model.safetensors

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+oid sha256:e8d6b0f45bf6460e6e9d355b6abdd3f9ad9a5490c7e339c91d1e969743f9ba6d
 size 2422949860

runs/Jan16_14-53-45_vorace/events.out.tfevents.1705417021.vorace.510473.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 38500
+oid sha256:906547ea0256268e6ac0fb1f84ade72ba013870df7040bfda83ed31fcb1cd365
+size 47697