End of training
Browse files- README.md +9 -4
- all_results.json +15 -0
- runs/May01_23-52-56_dgx-a100/events.out.tfevents.1746160531.dgx-a100.2099488.1 +3 -0
- train_results.json +9 -0
- trainer_state.json +923 -0
- val_results.json +9 -0
README.md
CHANGED
@@ -1,22 +1,27 @@
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---
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library_name: transformers
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license: apache-2.0
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-
base_model: openai/whisper-
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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-
- name:
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results: []
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---
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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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should probably proofread and complete it, then remove this comment. -->
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-
#
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-
This model is a fine-tuned version of [openai/whisper-
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It achieves the following results on the evaluation set:
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- Loss: 0.1112
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- Wer: 0.0612
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---
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library_name: transformers
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+
language:
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+
- jv
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license: apache-2.0
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+
base_model: openai/whisper-tiny
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tags:
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+
- whisper
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+
- javanese
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+
- asr
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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+
- name: Whisper-Large-v2-Java-v2
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results: []
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---
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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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should probably proofread and complete it, then remove this comment. -->
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+
# Whisper-Large-v2-Java-v2
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+
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1112
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- Wer: 0.0612
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all_results.json
ADDED
@@ -0,0 +1,15 @@
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{
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"epoch": 8.0,
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"total_flos": 1.698366962958336e+20,
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+
"train_loss": 0.16200368287563324,
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+
"train_runtime": 40923.5162,
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+
"train_samples": 2000,
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+
"train_samples_per_second": 1.955,
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+
"train_steps_per_second": 0.489,
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+
"val_loss": 0.11124598234891891,
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+
"val_runtime": 893.4451,
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+
"val_samples": 250,
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+
"val_samples_per_second": 1.399,
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+
"val_steps_per_second": 0.7,
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"val_wer": 0.06115037298782882
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+
}
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runs/May01_23-52-56_dgx-a100/events.out.tfevents.1746160531.dgx-a100.2099488.1
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:136ba24cefbc3d727301c4814fb7406377ba0010934aa9fcb61641e5b0629334
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+
size 437
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train_results.json
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{
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"epoch": 8.0,
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+
"total_flos": 1.698366962958336e+20,
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+
"train_loss": 0.16200368287563324,
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+
"train_runtime": 40923.5162,
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+
"train_samples": 2000,
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+
"train_samples_per_second": 1.955,
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"train_steps_per_second": 0.489
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}
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trainer_state.json
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|
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{
|
2 |
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"best_global_step": 20000,
|
3 |
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"best_metric": 0.06115037298782882,
|
4 |
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"best_model_checkpoint": "/home/cluster-dgxa100/slp01/bagas-fine-tune-whisper/whisper-large-v2-javanese-openslr-v2/checkpoint-20000",
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"epoch": 8.0,
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6 |
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"eval_steps": 1000,
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"global_step": 20000,
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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": 0.08,
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"learning_rate": 1.97e-06,
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"loss": 1.8907,
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"step": 200
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},
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{
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"epoch": 0.16,
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"grad_norm": 16.973052978515625,
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"learning_rate": 3.97e-06,
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"loss": 0.6026,
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"step": 400
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},
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{
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"epoch": 0.24,
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"grad_norm": 8.261700630187988,
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"learning_rate": 5.9700000000000004e-06,
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"loss": 0.5317,
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"step": 600
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{
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"epoch": 0.32,
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@@ -0,0 +1,9 @@
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