End of training
Browse files- README.md +4 -4
- all_results.json +12 -12
- eval_results.json +7 -7
- train_results.json +6 -6
- trainer_state.json +440 -12
README.md
CHANGED
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@@ -23,7 +23,7 @@ model-index:
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| 23 |
metrics:
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- name: Wer
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type: wer
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-
value: 0.
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| 27 |
---
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| 28 |
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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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@@ -33,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
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| 34 |
This model is a fine-tuned version of [mouseyy/result_data-1](https://huggingface.co/mouseyy/result_data-1) on the common_voice_17_0 dataset.
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It achieves the following results on the evaluation set:
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-
- Loss: 0.
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| 37 |
-
- Wer: 0.
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-
- Cer: 0.
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| 39 |
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## Model description
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| 41 |
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metrics:
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| 24 |
- name: Wer
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type: wer
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| 26 |
+
value: 0.34786300594395697
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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 [mouseyy/result_data-1](https://huggingface.co/mouseyy/result_data-1) 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: 0.2338
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| 37 |
+
- Wer: 0.3479
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| 38 |
+
- Cer: 0.1661
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## Model description
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| 41 |
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all_results.json
CHANGED
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@@ -1,16 +1,16 @@
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{
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-
"epoch": 0
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-
"eval_cer": 0.
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-
"eval_loss": 0.
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-
"eval_runtime": 16.
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"eval_samples": 500,
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-
"eval_samples_per_second": 30.
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| 8 |
-
"eval_steps_per_second": 0.
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| 9 |
-
"eval_wer": 0.
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-
"total_flos":
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| 11 |
-
"train_loss": 0.
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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": 5.0,
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+
"eval_cer": 0.1661312528682882,
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+
"eval_loss": 0.23383629322052002,
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| 5 |
+
"eval_runtime": 16.1666,
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| 6 |
"eval_samples": 500,
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| 7 |
+
"eval_samples_per_second": 30.928,
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| 8 |
+
"eval_steps_per_second": 0.99,
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| 9 |
+
"eval_wer": 0.34786300594395697,
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| 10 |
+
"total_flos": 4.052184710714386e+19,
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| 11 |
+
"train_loss": 0.13981490825066467,
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| 12 |
+
"train_runtime": 8884.6541,
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| 13 |
"train_samples": 35144,
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| 14 |
+
"train_samples_per_second": 19.778,
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+
"train_steps_per_second": 0.618
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}
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eval_results.json
CHANGED
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@@ -1,10 +1,10 @@
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{
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-
"epoch": 0
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-
"eval_cer": 0.
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-
"eval_loss": 0.
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-
"eval_runtime": 16.
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"eval_samples": 500,
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-
"eval_samples_per_second": 30.
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-
"eval_steps_per_second": 0.
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-
"eval_wer": 0.
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}
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{
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+
"epoch": 5.0,
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+
"eval_cer": 0.1661312528682882,
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+
"eval_loss": 0.23383629322052002,
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| 5 |
+
"eval_runtime": 16.1666,
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"eval_samples": 500,
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| 7 |
+
"eval_samples_per_second": 30.928,
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| 8 |
+
"eval_steps_per_second": 0.99,
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+
"eval_wer": 0.34786300594395697
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}
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train_results.json
CHANGED
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@@ -1,9 +1,9 @@
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{
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-
"epoch": 0
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-
"total_flos":
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-
"train_loss": 0.
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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": 5.0,
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+
"total_flos": 4.052184710714386e+19,
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+
"train_loss": 0.13981490825066467,
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+
"train_runtime": 8884.6541,
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"train_samples": 35144,
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+
"train_samples_per_second": 19.778,
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+
"train_steps_per_second": 0.618
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}
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trainer_state.json
CHANGED
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@@ -1,27 +1,455 @@
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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": 1000.0,
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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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-
"
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| 19 |
}
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| 20 |
],
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| 21 |
"logging_steps": 100,
|
| 22 |
-
"max_steps":
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| 23 |
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| 24 |
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"num_train_epochs":
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| 25 |
"save_steps": 1000,
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| 26 |
"stateful_callbacks": {
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| 27 |
"TrainerControl": {
|
|
@@ -35,7 +463,7 @@
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|
| 35 |
"attributes": {}
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| 36 |
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| 37 |
},
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| 38 |
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