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: 0.2206
-- Wer: 0.1924
-- Cer: 0.0483
+- Loss: 0.1490
+- Wer: 0.1163
+- Cer: 0.0298
 
 ## Model description
 
@@ -52,17 +50,20 @@ 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: 3.0
+- num_epochs: 5.0
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
-| 2.8812        | 0.63  | 250  | 2.8923          | 1.0    | 1.0000 |
-| 1.2899        | 1.26  | 500  | 1.1471          | 0.7030 | 0.2563 |
-| 0.5276        | 1.89  | 750  | 0.4687          | 0.4114 | 0.1127 |
-| 0.3313        | 2.52  | 1000 | 0.2870          | 0.2577 | 0.0659 |
+| Training Loss | Epoch | Step | Cer    | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:------:|:---------------:|:------:|
+| 2.8812        | 0.63  | 250  | 1.0000 | 2.8923          | 1.0    |
+| 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 |
 
 
 ### Framework versions

emissions.csv

@@ -1,2 +1,3 @@
 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,,

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:12ad70d8c2585298b91164b58ef5b9df1fe0d21b54e43546256ecc517da1a81a
 size 2422949860

runs/Jan16_13-07-53_vorace/events.out.tfevents.1705410668.vorace.502984.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:32e168b2e44fa2cec7ecde8924420266a9da967a4e8a2791d6b404ad5e3d5ef8
-size 22070
+oid sha256:be8636ea7593fca6055ebd26dc9b96fc254c7e43f87d14799367eef63b51a769
+size 37861