End of training

README.md

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+---
+license: mit
+base_model: gpt2
+tags:
+- generated_from_trainer
+model-index:
+- name: codeparrot-ds
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# codeparrot-ds
+
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.9260
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0005
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 9.4997        | 0.18  | 10   | 8.0307          |
+| 7.1464        | 0.36  | 20   | 7.0639          |
+| 6.7447        | 0.54  | 30   | 6.8856          |
+| 6.4819        | 0.72  | 40   | 6.6801          |
+| 6.2576        | 0.9   | 50   | 6.4703          |
+| 6.0151        | 1.08  | 60   | 6.2236          |
+| 5.7178        | 1.26  | 70   | 6.0277          |
+| 5.5432        | 1.44  | 80   | 5.8780          |
+| 5.4003        | 1.62  | 90   | 5.7475          |
+| 5.2611        | 1.8   | 100  | 5.6555          |
+| 5.1703        | 1.98  | 110  | 5.5344          |
+| 5.0115        | 2.16  | 120  | 5.4731          |
+| 4.9182        | 2.34  | 130  | 5.3787          |
+| 4.8519        | 2.52  | 140  | 5.3300          |
+| 4.7389        | 2.7   | 150  | 5.2398          |
+| 4.6887        | 2.88  | 160  | 5.1947          |
+| 4.5515        | 3.06  | 170  | 5.1424          |
+| 4.4606        | 3.24  | 180  | 5.1048          |
+| 4.4699        | 3.42  | 190  | 5.0667          |
+| 4.3777        | 3.6   | 200  | 5.0200          |
+| 4.3894        | 3.78  | 210  | 4.9892          |
+| 4.3143        | 3.96  | 220  | 4.9688          |
+| 4.2688        | 4.14  | 230  | 4.9515          |
+| 4.2468        | 4.32  | 240  | 4.9410          |
+| 4.2191        | 4.5   | 250  | 4.9304          |
+| 4.2512        | 4.68  | 260  | 4.9270          |
+| 4.217         | 4.86  | 270  | 4.9260          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "gpt2",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 0,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 0,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 128,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 12,
+  "n_positions": 1024,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 50000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.38.2"
+}

model.safetensors

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+size 496984704

runs/Apr08_06-53-20_0d16767672c6/events.out.tfevents.1712559212.0d16767672c6.4370.0

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|endoftext|>",
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "model_max_length": 1024,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

training_args.bin

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