End of training
Browse files- README.md +4 -4
- all_results.json +13 -13
- eval_results.json +8 -8
- train_results.json +6 -6
- trainer_state.json +616 -24
README.md
CHANGED
|
@@ -23,7 +23,7 @@ model-index:
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| 23 |
metrics:
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| 24 |
- name: Wer
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| 25 |
type: wer
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| 26 |
-
value: 0.
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| 27 |
---
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| 28 |
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| 29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -33,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
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| 33 |
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| 34 |
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_17_0 dataset.
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| 35 |
It achieves the following results on the evaluation set:
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| 36 |
-
- Loss: 0.
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| 37 |
-
- Wer: 0.
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| 38 |
-
- Cer: 0.
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| 39 |
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| 40 |
## Model description
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| 41 |
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| 23 |
metrics:
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| 24 |
- name: Wer
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| 25 |
type: wer
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| 26 |
+
value: 0.36512878573450325
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| 27 |
---
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| 28 |
|
| 29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 33 |
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| 34 |
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_17_0 dataset.
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| 35 |
It achieves the following results on the evaluation set:
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| 36 |
+
- Loss: 0.2220
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| 37 |
+
- Wer: 0.3651
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| 38 |
+
- Cer: 0.1691
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| 39 |
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| 40 |
## Model description
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| 41 |
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all_results.json
CHANGED
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{
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-
"epoch": 0
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-
"eval_cer":
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"eval_loss":
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"eval_runtime":
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"eval_samples":
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"eval_samples_per_second":
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"eval_steps_per_second":
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"eval_wer":
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-
"total_flos":
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-
"train_loss":
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-
"train_runtime":
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| 13 |
"train_samples": 35144,
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| 14 |
-
"train_samples_per_second":
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-
"train_steps_per_second": 0.
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}
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| 1 |
{
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| 2 |
+
"epoch": 7.0,
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| 3 |
+
"eval_cer": 0.16905169176853435,
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| 4 |
+
"eval_loss": 0.22203268110752106,
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| 5 |
+
"eval_runtime": 16.4511,
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| 6 |
+
"eval_samples": 500,
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| 7 |
+
"eval_samples_per_second": 30.393,
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| 8 |
+
"eval_steps_per_second": 0.973,
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| 9 |
+
"eval_wer": 0.36512878573450325,
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| 10 |
+
"total_flos": 5.670215301911177e+19,
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| 11 |
+
"train_loss": 0.6279906528631082,
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| 12 |
+
"train_runtime": 12613.1325,
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| 13 |
"train_samples": 35144,
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| 14 |
+
"train_samples_per_second": 19.504,
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| 15 |
+
"train_steps_per_second": 0.61
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}
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eval_results.json
CHANGED
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{
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-
"epoch": 0
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-
"eval_cer":
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"eval_loss":
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"eval_runtime":
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"eval_samples":
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"eval_samples_per_second":
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"eval_steps_per_second":
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-
"eval_wer":
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}
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{
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"epoch": 7.0,
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+
"eval_cer": 0.16905169176853435,
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+
"eval_loss": 0.22203268110752106,
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| 5 |
+
"eval_runtime": 16.4511,
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| 6 |
+
"eval_samples": 500,
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| 7 |
+
"eval_samples_per_second": 30.393,
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| 8 |
+
"eval_steps_per_second": 0.973,
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+
"eval_wer": 0.36512878573450325
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}
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train_results.json
CHANGED
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{
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-
"epoch": 0
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-
"total_flos":
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"train_loss":
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"train_runtime":
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"train_samples": 35144,
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"train_samples_per_second":
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"train_steps_per_second": 0.
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}
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{
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"epoch": 7.0,
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+
"total_flos": 5.670215301911177e+19,
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+
"train_loss": 0.6279906528631082,
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+
"train_runtime": 12613.1325,
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| 6 |
"train_samples": 35144,
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| 7 |
+
"train_samples_per_second": 19.504,
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+
"train_steps_per_second": 0.61
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}
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trainer_state.json
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@@ -1,38 +1,630 @@
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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-
"epoch": 0
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-
"eval_steps":
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-
"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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-
"epoch": 0.
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"
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| 29 |
}
|
| 30 |
],
|
| 31 |
"logging_steps": 100,
|
| 32 |
-
"max_steps":
|
| 33 |
"num_input_tokens_seen": 0,
|
| 34 |
-
"num_train_epochs":
|
| 35 |
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