Upload experiments/2022-10-19-3b9cd7de328ed85d6792d34d23c3b17f856aef3b51f5bc3c378591eb31f4b829 with huggingface_hub

experiments/2022-10-19-3b9cd7de328ed85d6792d34d23c3b17f856aef3b51f5bc3c378591eb31f4b829/configs.json

@@ -0,0 +1,26 @@
+{
+    "output_dir": "./results",
+    "evaluation_strategy": "no",
+    "do_eval": false,
+    "eval_steps": 0,
+    "log_level": "error",
+    "logging_first_step": true,
+    "logging_steps": 5,
+    "logging_dir": "./logs",
+    "save_steps": 200,
+    "save_total_limit": 2,
+    "num_train_epochs": 5,
+    "per_device_train_batch_size": 2,
+    "optim": "adamw_torch",
+    "gradient_accumulation_steps": 4,
+    "gradient_checkpointing": true,
+    "dataloader_drop_last": true,
+    "warmup_steps": 100,
+    "weight_decay": 0.01,
+    "learning_rate": 5e-05,
+    "fp16": true,
+    "total_gpus": 1,
+    "v_cpus": 4,
+    "total_memory_in_gb": 11977.21875,
+    "dataset_limit": 100
+}

experiments/2022-10-19-3b9cd7de328ed85d6792d34d23c3b17f856aef3b51f5bc3c378591eb31f4b829/final_checkpoint/config.json

@@ -0,0 +1,54 @@
+{
+  "_name_or_path": "EleutherAI/gpt-neo-125M",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPTNeoForCausalLM"
+  ],
+  "attention_dropout": 0,
+  "attention_layers": [
+    "global",
+    "local",
+    "global",
+    "local",
+    "global",
+    "local",
+    "global",
+    "local",
+    "global",
+    "local",
+    "global",
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+  ],
+  "attention_types": [
+    [
+      [
+        "global",
+        "local"
+      ],
+      6
+    ]
+  ],
+  "bos_token_id": 50256,
+  "embed_dropout": 0,
+  "eos_token_id": 50256,
+  "gradient_checkpointing": false,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": null,
+  "layer_norm_epsilon": 1e-05,
+  "max_position_embeddings": 2048,
+  "model_type": "gpt_neo",
+  "num_heads": 12,
+  "num_layers": 12,
+  "resid_dropout": 0,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.21.3",
+  "use_cache": true,
+  "vocab_size": 50259,
+  "window_size": 256
+}

experiments/2022-10-19-3b9cd7de328ed85d6792d34d23c3b17f856aef3b51f5bc3c378591eb31f4b829/final_checkpoint/pytorch_model.bin

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+size 551191249

experiments/2022-10-19-3b9cd7de328ed85d6792d34d23c3b17f856aef3b51f5bc3c378591eb31f4b829/logs/1666214710.6921833/events.out.tfevents.1666214710.recqaxqh5usjd5uxv.4517.1

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+size 5356

experiments/2022-10-19-3b9cd7de328ed85d6792d34d23c3b17f856aef3b51f5bc3c378591eb31f4b829/logs/events.out.tfevents.1666214710.recqaxqh5usjd5uxv.4517.0

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+size 34412

experiments/2022-10-19-3b9cd7de328ed85d6792d34d23c3b17f856aef3b51f5bc3c378591eb31f4b829/output.log

@@ -0,0 +1,126 @@
+nohup: ignoring input
+Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
+Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
+No config specified, defaulting to: apps/all
+Reusing dataset apps (/home/user/.cache/huggingface/datasets/codeparrot___apps/all/0.0.0/04ac807715d07d6e5cc580f59cdc8213cd7dc4529d0bb819cca72c9f8e8c1aa5)
+PyTorch: setting up devices
+The default value for the training argument `--report_to` will change in v5 (from all installed integrations to none). In v5, you will need to use `--report_to all` to get the same behavior as now. You should start updating your code and make this info disappear :-).
+Max length: 2048
+GPU memory occupied: 1869 MB.
+
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