cheers again

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper
 
-This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset.
+This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the tiny dataset.
 It achieves the following results on the evaluation set:
 - Loss: 3.9871
 - Wer: 83.6108

trainer_state.json

@@ -0,0 +1,53 @@
+{
+  "best_metric": 83.61075544174136,
+  "best_model_checkpoint": "/content/drive/MyDrive/whisper/checkpoint-10",
+  "epoch": 0.14084507042253522,
+  "eval_steps": 10,
+  "global_step": 10,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.07042253521126761,
+      "grad_norm": 47.26686096191406,
+      "learning_rate": 1.0000000000000001e-07,
+      "loss": 3.9501,
+      "step": 5
+    },
+    {
+      "epoch": 0.14084507042253522,
+      "grad_norm": 44.44534683227539,
+      "learning_rate": 2.0000000000000002e-07,
+      "loss": 3.965,
+      "step": 10
+    },
+    {
+      "epoch": 0.14084507042253522,
+      "eval_loss": 3.9870896339416504,
+      "eval_runtime": 260.9533,
+      "eval_samples_per_second": 1.916,
+      "eval_steps_per_second": 0.241,
+      "eval_wer": 83.61075544174136,
+      "step": 10
+    },
+    {
+      "epoch": 0.14084507042253522,
+      "step": 10,
+      "total_flos": 1.57560864768e+16,
+      "train_loss": 3.9575407028198244,
+      "train_runtime": 272.1446,
+      "train_samples_per_second": 2.352,
+      "train_steps_per_second": 0.037
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 10,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 10,
+  "total_flos": 1.57560864768e+16,
+  "train_batch_size": 64,
+  "trial_name": null,
+  "trial_params": null
+}