End of training
Browse files- README.md +15 -2
- all_results.json +15 -0
- eval_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +621 -0
README.md
CHANGED
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@@ -4,11 +4,24 @@ license: apache-2.0
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base_model: openai/whisper-medium
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tags:
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- generated_from_trainer
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| 7 |
metrics:
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| 8 |
- wer
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| 9 |
model-index:
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| 10 |
- name: whisper-medium-ph
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-
results:
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| 12 |
---
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| 13 |
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| 14 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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@@ -16,7 +29,7 @@ should probably proofread and complete it, then remove this comment. -->
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| 16 |
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| 17 |
# whisper-medium-ph
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| 18 |
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-
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on
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| 20 |
It achieves the following results on the evaluation set:
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| 21 |
- Loss: 0.3113
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| 22 |
- Wer: 0.1283
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| 4 |
base_model: openai/whisper-medium
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| 5 |
tags:
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| 6 |
- generated_from_trainer
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+
datasets:
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| 8 |
+
- rbcurzon/ph_dialect_asr
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| 9 |
metrics:
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| 10 |
- wer
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| 11 |
model-index:
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| 12 |
- name: whisper-medium-ph
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| 13 |
+
results:
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- task:
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name: Automatic Speech Recognition
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| 16 |
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type: automatic-speech-recognition
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| 17 |
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dataset:
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| 18 |
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name: rbcurzon/ph_dialect_asr all
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| 19 |
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type: rbcurzon/ph_dialect_asr
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| 20 |
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args: all
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| 21 |
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metrics:
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| 22 |
+
- name: Wer
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| 23 |
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type: wer
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| 24 |
+
value: 0.12829864835872132
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| 25 |
---
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| 26 |
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| 27 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 29 |
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| 30 |
# whisper-medium-ph
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| 31 |
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| 32 |
+
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the rbcurzon/ph_dialect_asr all dataset.
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| 33 |
It achieves the following results on the evaluation set:
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| 34 |
- Loss: 0.3113
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| 35 |
- Wer: 0.1283
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all_results.json
ADDED
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@@ -0,0 +1,15 @@
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{
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"epoch": 2.466091245376079,
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| 3 |
+
"eval_loss": 0.3112793266773224,
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| 4 |
+
"eval_runtime": 1173.9261,
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| 5 |
+
"eval_samples": 3612,
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| 6 |
+
"eval_samples_per_second": 3.077,
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| 7 |
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"eval_steps_per_second": 0.193,
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| 8 |
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"eval_wer": 0.12829864835872132,
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| 9 |
+
"total_flos": 3.265323341119488e+19,
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| 10 |
+
"train_loss": 0.2021937195956707,
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| 11 |
+
"train_runtime": 9527.7148,
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| 12 |
+
"train_samples": 12973,
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| 13 |
+
"train_samples_per_second": 3.359,
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| 14 |
+
"train_steps_per_second": 0.21
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| 15 |
+
}
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eval_results.json
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@@ -0,0 +1,9 @@
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{
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"epoch": 2.466091245376079,
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+
"eval_loss": 0.3112793266773224,
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| 4 |
+
"eval_runtime": 1173.9261,
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| 5 |
+
"eval_samples": 3612,
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| 6 |
+
"eval_samples_per_second": 3.077,
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| 7 |
+
"eval_steps_per_second": 0.193,
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| 8 |
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"eval_wer": 0.12829864835872132
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| 9 |
+
}
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train_results.json
ADDED
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@@ -0,0 +1,9 @@
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{
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"epoch": 2.466091245376079,
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"total_flos": 3.265323341119488e+19,
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+
"train_loss": 0.2021937195956707,
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| 5 |
+
"train_runtime": 9527.7148,
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| 6 |
+
"train_samples": 12973,
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| 7 |
+
"train_samples_per_second": 3.359,
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| 8 |
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"train_steps_per_second": 0.21
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}
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trainer_state.json
ADDED
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@@ -0,0 +1,621 @@
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|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 2.466091245376079,
|
| 6 |
+
"eval_steps": 1000,
|
| 7 |
+
"global_step": 2000,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
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