End of training
Browse files- README.md +8 -17
- all_results.json +16 -0
- eval_results.json +10 -0
- runs/May10_16-01-02_mypc/events.out.tfevents.1715363551.mypc.12097.1 +3 -0
- train_results.json +9 -0
- trainer_state.json +1131 -0
README.md
CHANGED
@@ -1,7 +1,11 @@
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1 |
---
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license: apache-2.0
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base_model: facebook/wav2vec2-xls-r-300m
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_8_0
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@@ -9,20 +13,7 @@ metrics:
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- wer
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model-index:
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- name: xls-r-uzbek-cv8
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results:
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-
- task:
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-
name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: common_voice_8_0
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type: common_voice_8_0
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config: uz
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split: validation[50%:]
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args: uz
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metrics:
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- name: Wer
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type: wer
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-
value: 0.3785223774567843
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---
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27 |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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@@ -30,10 +21,10 @@ should probably proofread and complete it, then remove this comment. -->
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# xls-r-uzbek-cv8
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-
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the
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It achieves the following results on the evaluation set:
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-
- Loss: 0.
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-
- Wer: 0.
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- Cer: 0.0760
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## Model description
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---
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+
language:
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+
- uz
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license: apache-2.0
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base_model: facebook/wav2vec2-xls-r-300m
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tags:
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+
- automatic-speech-recognition
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+
- mozilla-foundation/common_voice_8_0
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- generated_from_trainer
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datasets:
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- common_voice_8_0
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- wer
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model-index:
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- name: xls-r-uzbek-cv8
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+
results: []
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---
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18 |
|
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# xls-r-uzbek-cv8
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+
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - UZ dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.2924
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- Wer: 0.3780
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- Cer: 0.0760
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|
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## Model description
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all_results.json
ADDED
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{
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"epoch": 10.0,
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"eval_cer": 0.07595390150143673,
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+
"eval_loss": 0.29243385791778564,
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+
"eval_runtime": 275.1252,
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+
"eval_samples": 5425,
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+
"eval_samples_per_second": 19.718,
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"eval_steps_per_second": 4.932,
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"eval_wer": 0.37798958086668244,
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+
"total_flos": 2.6616913888307843e+19,
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"train_loss": 1.1441452417737183,
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"train_runtime": 24098.893,
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"train_samples": 19726,
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"train_samples_per_second": 8.185,
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"train_steps_per_second": 0.512
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}
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eval_results.json
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{
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"epoch": 10.0,
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"eval_cer": 0.07595390150143673,
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"eval_loss": 0.29243385791778564,
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"eval_runtime": 275.1252,
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"eval_samples": 5425,
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"eval_samples_per_second": 19.718,
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"eval_steps_per_second": 4.932,
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"eval_wer": 0.37798958086668244
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}
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runs/May10_16-01-02_mypc/events.out.tfevents.1715363551.mypc.12097.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:d19709b7d014080061e00d5b79d7ddb18c9c366253fcd623bdedde4b303a4e5a
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size 453
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train_results.json
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{
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"epoch": 10.0,
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"total_flos": 2.6616913888307843e+19,
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"train_loss": 1.1441452417737183,
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"train_runtime": 24098.893,
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+
"train_samples": 19726,
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"train_samples_per_second": 8.185,
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"train_steps_per_second": 0.512
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}
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trainer_state.json
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