End of training

fine-tune-whisper-streaming.ipynb

@@ -413,6 +413,16 @@
     ")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ba8b3d77",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vectorized_datasets['train'][0]"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "263a5a58-0239-4a25-b0df-c625fc9c5810",
@@ -884,7 +894,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "ee8b7b8e-1c9a-4d77-9137-1778a629e6de",
-   "metadata": {},
+   "metadata": {
+    "scrolled": false
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -911,8 +923,8 @@
        "\n",
        "    <div>\n",
        "      \n",
-       "      <progress value='801' max='1000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      [ 801/1000 2:46:57 < 41:34, 0.08 it/s, Epoch 5.09/9223372036854775807]\n",
+       "      <progress value='1001' max='1000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      [1000/1000 3:35:08, Epoch 7.01/9223372036854775807]\n",
        "    </div>\n",
        "    <table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
@@ -942,6 +954,12 @@
        "      <td>0.278346</td>\n",
        "      <td>70.960420</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <td>800</td>\n",
+       "      <td>0.026300</td>\n",
+       "      <td>0.298785</td>\n",
+       "      <td>74.734005</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table><p>"
       ],
@@ -1018,6 +1036,28 @@
       "  Num examples: Unknown\n",
       "  Batch size = 8\n",
       "Reading metadata...: 4604it [00:00, 30988.60it/s]\n",
+      "The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`,  you can safely ignore this message.\n",
+      "Saving model checkpoint to ./checkpoint-800\n",
+      "Configuration saved in ./checkpoint-800/config.json\n",
+      "Model weights saved in ./checkpoint-800/pytorch_model.bin\n",
+      "Feature extractor saved in ./checkpoint-800/preprocessor_config.json\n",
+      "tokenizer config file saved in ./checkpoint-800/tokenizer_config.json\n",
+      "Special tokens file saved in ./checkpoint-800/special_tokens_map.json\n",
+      "added tokens file saved in ./checkpoint-800/added_tokens.json\n",
+      "Feature extractor saved in ./preprocessor_config.json\n",
+      "tokenizer config file saved in ./tokenizer_config.json\n",
+      "Special tokens file saved in ./special_tokens_map.json\n",
+      "added tokens file saved in ./added_tokens.json\n",
+      "Reading metadata...: 6505it [00:00, 36357.17it/s]\n",
+      "Reading metadata...: 4485it [00:00, 30574.75it/s]\n",
+      "Got disconnected from remote data host. Retrying in 5sec [1/20]\n",
+      "Got disconnected from remote data host. Retrying in 5sec [2/20]\n",
+      "Reading metadata...: 6505it [00:00, 31147.16it/s]\n",
+      "Reading metadata...: 4485it [00:00, 22808.34it/s]\n",
+      "***** Running Evaluation *****\n",
+      "  Num examples: Unknown\n",
+      "  Batch size = 8\n",
+      "Reading metadata...: 4604it [00:00, 28132.71it/s]\n",
       "The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`,  you can safely ignore this message.\n"
      ]
     }
@@ -1048,7 +1088,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": null,
    "id": "6dd0e310-9b07-4133-ac14-2ed2d7524e22",
    "metadata": {},
    "outputs": [],

pytorch_model.bin

@@ -1,3 +1,3 @@
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runs/Dec12_04-37-47_150-136-44-233/events.out.tfevents.1670819878.150-136-44-233.69039.0

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