Training in progress, epoch 4

Logs/events.out.tfevents.1718362954.e29ec45d9208.134.1

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Untitled.ipynb

@@ -468,8 +468,8 @@
        "\n",
        "    <div>\n",
        "      \n",
-       "      <progress value='518' max='1290' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      [ 518/1290 2:03:18 < 3:04:28, 0.07 it/s, Epoch 3.99/10]\n",
+       "      <progress value='647' max='1290' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      [ 647/1290 2:34:35 < 2:34:07, 0.07 it/s, Epoch 4.99/10]\n",
        "    </div>\n",
        "    <table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
@@ -490,6 +490,11 @@
        "      <td>0.000100</td>\n",
        "      <td>0.000185</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <td>4</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000146</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table><p>"
       ],
@@ -515,6 +520,10 @@
       "/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n",
       "  warnings.warn(\n",
       "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:31: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+      "  warnings.warn(\"None of the inputs have requires_grad=True. Gradients will be None\")\n",
+      "/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n",
+      "  warnings.warn(\n",
+      "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:31: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
       "  warnings.warn(\"None of the inputs have requires_grad=True. Gradients will be None\")\n"
      ]
     }

adapter_model.safetensors

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