End of training

README.md

@@ -6,9 +6,24 @@ tags:
 - generated_from_trainer
 datasets:
 - common_voice_17_0
+metrics:
+- wer
 model-index:
 - name: result_data_2-4
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_17_0
+      type: common_voice_17_0
+      config: uk
+      split: test
+      args: uk
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.36597792244551375
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,6 +32,10 @@ should probably proofread and complete it, then remove this comment. -->
 # result_data_2-4
 
 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.
+It achieves the following results on the evaluation set:
+- Loss: 0.2237
+- Wer: 0.3660
+- Cer: 0.1695
 
 ## Model description
 

all_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 0.009099181073703366,
+    "eval_cer": 0.16951061788143018,
+    "eval_loss": 0.22374939918518066,
+    "eval_runtime": 16.1293,
+    "eval_samples": 500,
+    "eval_samples_per_second": 30.999,
+    "eval_steps_per_second": 0.992,
+    "eval_wer": 0.36597792244551375,
+    "total_flos": 7.434959474550374e+16,
+    "train_loss": 0.19240667819976806,
+    "train_runtime": 23.0187,
+    "train_samples": 35144,
+    "train_samples_per_second": 13.902,
+    "train_steps_per_second": 0.434
+}

eval_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 0.009099181073703366,
+    "eval_cer": 0.16951061788143018,
+    "eval_loss": 0.22374939918518066,
+    "eval_runtime": 16.1293,
+    "eval_samples": 500,
+    "eval_samples_per_second": 30.999,
+    "eval_steps_per_second": 0.992,
+    "eval_wer": 0.36597792244551375
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.009099181073703366,
+    "total_flos": 7.434959474550374e+16,
+    "train_loss": 0.19240667819976806,
+    "train_runtime": 23.0187,
+    "train_samples": 35144,
+    "train_samples_per_second": 13.902,
+    "train_steps_per_second": 0.434
+}

trainer_state.json

@@ -0,0 +1,42 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.009099181073703366,
+  "eval_steps": 1000.0,
+  "global_step": 10,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.009099181073703366,
+      "step": 10,
+      "total_flos": 7.434959474550374e+16,
+      "train_loss": 0.19240667819976806,
+      "train_runtime": 23.0187,
+      "train_samples_per_second": 13.902,
+      "train_steps_per_second": 0.434
+    }
+  ],
+  "logging_steps": 100,
+  "max_steps": 10,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 1000,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 7.434959474550374e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}