End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert/distilgpt2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: 65a3e1a2e304a0b2e1118431fd0a5f60
+  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. -->
+
+# 65a3e1a2e304a0b2e1118431fd0a5f60
+
+This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on the contemmcm/clickbait dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0242
+- Data Size: 1.0
+- Epoch Runtime: 29.1527
+- Accuracy: 0.9979
+- F1 Macro: 0.9978
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: constant
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Data Size | Epoch Runtime | Accuracy | F1 Macro |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------------:|:--------:|:--------:|
+| No log        | 0     | 0    | 5.0518          | 0         | 3.5783        | 0.3873   | 0.2797   |
+| No log        | 1     | 650  | 0.2177          | 0.0078    | 3.8926        | 0.9296   | 0.9264   |
+| No log        | 2     | 1300 | 0.0150          | 0.0156    | 3.9929        | 0.9967   | 0.9965   |
+| No log        | 3     | 1950 | 0.0046          | 0.0312    | 4.3827        | 0.9986   | 0.9986   |
+| No log        | 4     | 2600 | 0.0039          | 0.0625    | 5.0552        | 0.9988   | 0.9988   |
+| 0.0064        | 5     | 3250 | 0.0032          | 0.125     | 6.7608        | 0.9990   | 0.9990   |
+| 0.0034        | 6     | 3900 | 0.0124          | 0.25      | 9.9927        | 0.9983   | 0.9982   |
+| 0.0002        | 7     | 4550 | 0.0107          | 0.5       | 15.8401       | 0.9985   | 0.9984   |
+| 0.0012        | 8.0   | 5200 | 0.0041          | 1.0       | 29.0009       | 0.9992   | 0.9992   |
+| 0.0           | 9.0   | 5850 | 0.0017          | 1.0       | 29.7472       | 0.9992   | 0.9992   |
+| 0.0           | 10.0  | 6500 | 0.0047          | 1.0       | 28.6022       | 0.9994   | 0.9994   |
+| 0.0           | 11.0  | 7150 | 0.0089          | 1.0       | 28.0580       | 0.9992   | 0.9992   |
+| 0.0           | 12.0  | 7800 | 0.0057          | 1.0       | 28.4593       | 0.9992   | 0.9992   |
+| 0.0041        | 13.0  | 8450 | 0.0242          | 1.0       | 29.1527       | 0.9979   | 0.9978   |
+
+
+### Framework versions
+
+- Transformers 4.57.0
+- Pytorch 2.8.0+cu128
+- Datasets 4.3.0
+- Tokenizers 0.22.1

config.json

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+{
+  "_num_labels": 1,
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2ForSequenceClassification"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "dtype": "float32",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 6,
+  "n_positions": 1024,
+  "pad_token_id": 50256,
+  "problem_type": "single_label_classification",
+  "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
+    }
+  },
+  "transformers_version": "4.57.0",
+  "use_cache": true,
+  "vocab_size": 50257
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2b1f0ab4d0282e16906d6a03a7164151a97f1d283161c125e84961682e02c38c
+size 327664152

special_tokens_map.json

@@ -0,0 +1,6 @@
+{
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "pad_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
+}

tokenizer_config.json

@@ -0,0 +1,21 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "50256": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "extra_special_tokens": {},
+  "model_max_length": 1024,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f0f7cc0a946ce570b61085853c6f55140d0bf934e49a4ce723043595732c0406
+size 5969