Training in progress, step 800

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: gpt2-finetuned-wikitext2
+  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. -->
+
+# gpt2-finetuned-wikitext2
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.3475
+
+## 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
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| No log        | 0.0871 | 400   | 5.7421          |
+| 7.4433        | 0.1743 | 800   | 5.4424          |
+| 6.1443        | 0.2614 | 1200  | 5.2904          |
+| 5.8799        | 0.3486 | 1600  | 5.1782          |
+| 5.77          | 0.4357 | 2000  | 5.0820          |
+| 5.77          | 0.5229 | 2400  | 5.0147          |
+| 5.6037        | 0.6100 | 2800  | 4.9651          |
+| 5.4824        | 0.6972 | 3200  | 4.9089          |
+| 5.4682        | 0.7843 | 3600  | 4.8641          |
+| 5.3475        | 0.8715 | 4000  | 4.8143          |
+| 5.3475        | 0.9586 | 4400  | 4.7679          |
+| 5.2798        | 1.0458 | 4800  | 4.7325          |
+| 5.1551        | 1.1329 | 5200  | 4.7000          |
+| 5.0839        | 1.2200 | 5600  | 4.6673          |
+| 5.0434        | 1.3072 | 6000  | 4.6397          |
+| 5.0434        | 1.3943 | 6400  | 4.6196          |
+| 5.0249        | 1.4815 | 6800  | 4.5872          |
+| 4.9359        | 1.5686 | 7200  | 4.5554          |
+| 4.9433        | 1.6558 | 7600  | 4.5342          |
+| 4.8964        | 1.7429 | 8000  | 4.5158          |
+| 4.8964        | 1.8301 | 8400  | 4.4937          |
+| 4.8849        | 1.9172 | 8800  | 4.4816          |
+| 4.7968        | 2.0044 | 9200  | 4.4569          |
+| 4.7129        | 2.0915 | 9600  | 4.4388          |
+| 4.6853        | 2.1786 | 10000 | 4.4255          |
+| 4.6853        | 2.2658 | 10400 | 4.4210          |
+| 4.6771        | 2.3529 | 10800 | 4.4021          |
+| 4.6467        | 2.4401 | 11200 | 4.3909          |
+| 4.6257        | 2.5272 | 11600 | 4.3823          |
+| 4.6341        | 2.6144 | 12000 | 4.3720          |
+| 4.6341        | 2.7015 | 12400 | 4.3636          |
+| 4.5929        | 2.7887 | 12800 | 4.3574          |
+| 4.6096        | 2.8758 | 13200 | 4.3508          |
+| 4.5891        | 2.9630 | 13600 | 4.3479          |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.3.1+cu118
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "gpt2",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "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": 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": "4.40.0",
+  "use_cache": true,
+  "vocab_size": 50257
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.40.0"
+}

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training_args.bin

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