Training in progress, step 496
Browse files
.ipynb_checkpoints/Untitled-checkpoint.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "dd43ab16-dc35-4543-85f4-0ed807778105",
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"metadata": {},
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"outputs": [
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{
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"ename": "ValueError",
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"evalue": "Provided path: '/workspace/data/axolotl-artifacts/out/outputs/out/checkpoint-248' is not a directory",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[0;32mIn[2], line 4\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mhuggingface_hub\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m HfApi\n\u001b[1;32m 2\u001b[0m api \u001b[38;5;241m=\u001b[39m HfApi()\n\u001b[0;32m----> 4\u001b[0m \u001b[43mapi\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupload_folder\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 5\u001b[0m \u001b[43m \u001b[49m\u001b[43mfolder_path\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43moutputs/out/checkpoint-248\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 6\u001b[0m \u001b[43m \u001b[49m\u001b[43mrepo_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mKquant03/L3-8B-Pneuma-chkpt1\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 7\u001b[0m \u001b[43m \u001b[49m\u001b[43mrepo_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmodel\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8\u001b[0m \u001b[43m)\u001b[49m\n",
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"File \u001b[0;32m~/miniconda3/envs/py3.11/lib/python3.11/site-packages/huggingface_hub/utils/_validators.py:114\u001b[0m, in \u001b[0;36mvalidate_hf_hub_args.<locals>._inner_fn\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 111\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m check_use_auth_token:\n\u001b[1;32m 112\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m smoothly_deprecate_use_auth_token(fn_name\u001b[38;5;241m=\u001b[39mfn\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m, has_token\u001b[38;5;241m=\u001b[39mhas_token, kwargs\u001b[38;5;241m=\u001b[39mkwargs)\n\u001b[0;32m--> 114\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
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"File \u001b[0;32m~/miniconda3/envs/py3.11/lib/python3.11/site-packages/huggingface_hub/hf_api.py:1485\u001b[0m, in \u001b[0;36mfuture_compatible.<locals>._inner\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1482\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrun_as_future(fn, \u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 1484\u001b[0m \u001b[38;5;66;03m# Otherwise, call the function normally\u001b[39;00m\n\u001b[0;32m-> 1485\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
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"File \u001b[0;32m~/miniconda3/envs/py3.11/lib/python3.11/site-packages/huggingface_hub/hf_api.py:4972\u001b[0m, in \u001b[0;36mHfApi.upload_folder\u001b[0;34m(self, repo_id, folder_path, path_in_repo, commit_message, commit_description, token, repo_type, revision, create_pr, parent_commit, allow_patterns, ignore_patterns, delete_patterns, multi_commits, multi_commits_verbose, run_as_future)\u001b[0m\n\u001b[1;32m 4962\u001b[0m ignore_patterns \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m DEFAULT_IGNORE_PATTERNS\n\u001b[1;32m 4964\u001b[0m delete_operations \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_prepare_folder_deletions(\n\u001b[1;32m 4965\u001b[0m repo_id\u001b[38;5;241m=\u001b[39mrepo_id,\n\u001b[1;32m 4966\u001b[0m repo_type\u001b[38;5;241m=\u001b[39mrepo_type,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 4970\u001b[0m delete_patterns\u001b[38;5;241m=\u001b[39mdelete_patterns,\n\u001b[1;32m 4971\u001b[0m )\n\u001b[0;32m-> 4972\u001b[0m add_operations \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_prepare_upload_folder_additions\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 4973\u001b[0m \u001b[43m \u001b[49m\u001b[43mfolder_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 4974\u001b[0m \u001b[43m \u001b[49m\u001b[43mpath_in_repo\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 4975\u001b[0m \u001b[43m \u001b[49m\u001b[43mallow_patterns\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mallow_patterns\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 4976\u001b[0m \u001b[43m \u001b[49m\u001b[43mignore_patterns\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mignore_patterns\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 4977\u001b[0m \u001b[43m \u001b[49m\u001b[43mtoken\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtoken\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 4978\u001b[0m \u001b[43m \u001b[49m\u001b[43mrepo_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrepo_type\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 4979\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 4981\u001b[0m \u001b[38;5;66;03m# Optimize operations: if some files will be overwritten, we don't need to delete them first\u001b[39;00m\n\u001b[1;32m 4982\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(add_operations) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m:\n",
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"File \u001b[0;32m~/miniconda3/envs/py3.11/lib/python3.11/site-packages/huggingface_hub/hf_api.py:9454\u001b[0m, in \u001b[0;36mHfApi._prepare_upload_folder_additions\u001b[0;34m(self, folder_path, path_in_repo, allow_patterns, ignore_patterns, repo_type, token)\u001b[0m\n\u001b[1;32m 9452\u001b[0m folder_path \u001b[38;5;241m=\u001b[39m Path(folder_path)\u001b[38;5;241m.\u001b[39mexpanduser()\u001b[38;5;241m.\u001b[39mresolve()\n\u001b[1;32m 9453\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m folder_path\u001b[38;5;241m.\u001b[39mis_dir():\n\u001b[0;32m-> 9454\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mProvided path: \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfolder_path\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m is not a directory\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 9456\u001b[0m \u001b[38;5;66;03m# List files from folder\u001b[39;00m\n\u001b[1;32m 9457\u001b[0m relpath_to_abspath \u001b[38;5;241m=\u001b[39m {\n\u001b[1;32m 9458\u001b[0m path\u001b[38;5;241m.\u001b[39mrelative_to(folder_path)\u001b[38;5;241m.\u001b[39mas_posix(): path\n\u001b[1;32m 9459\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m path \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28msorted\u001b[39m(folder_path\u001b[38;5;241m.\u001b[39mglob(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m**/*\u001b[39m\u001b[38;5;124m\"\u001b[39m)) \u001b[38;5;66;03m# sorted to be deterministic\u001b[39;00m\n\u001b[1;32m 9460\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m path\u001b[38;5;241m.\u001b[39mis_file()\n\u001b[1;32m 9461\u001b[0m }\n",
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"\u001b[0;31mValueError\u001b[0m: Provided path: '/workspace/data/axolotl-artifacts/out/outputs/out/checkpoint-248' is not a directory"
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]
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}
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],
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"source": [
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"from huggingface_hub import HfApi\n",
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"api = HfApi()\n",
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"\n",
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"api.upload_folder(\n",
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" folder_path=\"./outputs/out/checkpoint-248\",\n",
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" repo_id=\"Kquant03/L3-8B-Pneuma-chkpt1\",\n",
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" repo_type=\"model\",\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "af90a85b-3c93-41b3-afd0-4b645eedfc9e",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.10"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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Untitled.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "dd43ab16-dc35-4543-85f4-0ed807778105",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "d7becb7d21414751ab22ea11c3a2a647",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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" 0%| | 0/7 [00:00<?, ?it/s]"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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{
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"data": {
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"version_minor": 0
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},
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"text/plain": [
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"model-00003-of-00004.safetensors: 0%| | 0.00/4.92G [00:00<?, ?B/s]"
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},
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"metadata": {},
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"output_type": "display_data"
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{
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"data": {
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},
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"text/plain": [
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"model-00004-of-00004.safetensors: 0%| | 0.00/1.17G [00:00<?, ?B/s]"
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"metadata": {},
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"output_type": "display_data"
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{
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"data": {
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"model_id": "d65d01eb12e94011b4731c41669f8039",
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