End of training

README.md

@@ -1,13 +1,33 @@
 ---
+language:
+- tw
 license: apache-2.0
 base_model: facebook/wav2vec2-xls-r-300m
 tags:
+- automatic-speech-recognition
+- mozilla-foundation/common_voice_16_1
+- mms
 - generated_from_trainer
 datasets:
 - common_voice_16_1
+metrics:
+- wer
 model-index:
 - name: wav2vec2-twi-adapter
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: MOZILLA-FOUNDATION/COMMON_VOICE_16_1 - TW
+      type: common_voice_16_1
+      config: tw
+      split: None
+      args: 'Config: tw, Training split: train, Eval split: validation+test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 1.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,7 +35,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-twi-adapter
 
-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_16_1 dataset.
+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_16_1 - TW dataset.
+It achieves the following results on the evaluation set:
+- Loss: 35.6947
+- Wer: 1.0
+- Cer: 5.1304
 
 ## Model description
 

adapter.aka.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7664ed8cbab872e1072a86fa0bf31d93a62cb3824ce10e27599544797e4bc49a
+size 3590904

all_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 4.0,
+    "eval_cer": 5.130434782608695,
+    "eval_loss": 35.69469451904297,
+    "eval_runtime": 0.7985,
+    "eval_samples": 3,
+    "eval_samples_per_second": 3.757,
+    "eval_steps_per_second": 1.252,
+    "eval_wer": 1.0,
+    "total_flos": 3.89806936817664e+16,
+    "train_loss": 14.43960952758789,
+    "train_runtime": 61.1436,
+    "train_samples": 53,
+    "train_samples_per_second": 3.467,
+    "train_steps_per_second": 0.131
+}

eval_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 4.0,
+    "eval_cer": 5.130434782608695,
+    "eval_loss": 35.69469451904297,
+    "eval_runtime": 0.7985,
+    "eval_samples": 3,
+    "eval_samples_per_second": 3.757,
+    "eval_steps_per_second": 1.252,
+    "eval_wer": 1.0
+}

runs/May24_03-28-56_cc57b0143c57/events.out.tfevents.1716521485.cc57b0143c57.316.1

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+oid sha256:d072e23a6d1d779c826bcae53f0a97ca4da35c9947859c32c5569c62f09c1656
+size 398

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 4.0,
+    "total_flos": 3.89806936817664e+16,
+    "train_loss": 14.43960952758789,
+    "train_runtime": 61.1436,
+    "train_samples": 53,
+    "train_samples_per_second": 3.467,
+    "train_steps_per_second": 0.131
+}

trainer_state.json

@@ -0,0 +1,42 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 4.0,
+  "eval_steps": 50,
+  "global_step": 8,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 4.0,
+      "step": 8,
+      "total_flos": 3.89806936817664e+16,
+      "train_loss": 14.43960952758789,
+      "train_runtime": 61.1436,
+      "train_samples_per_second": 3.467,
+      "train_steps_per_second": 0.131
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 8,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 4,
+  "save_steps": 200,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": false,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 3.89806936817664e+16,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}