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Model: NasimB/cbt-guten-log-rarity-all-no-cut-mixed
Source: Original Platform

.gitattributes

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.gitignore

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+checkpoint-*/

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: cbt-guten-log-rarity-all-no-cut-mixed
+  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. -->
+
+# cbt-guten-log-rarity-all-no-cut-mixed
+
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.3188
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 6
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 6.6937        | 0.29  | 500   | 5.6332          |
+| 5.3475        | 0.58  | 1000  | 5.1998          |
+| 4.9924        | 0.87  | 1500  | 4.9522          |
+| 4.7225        | 1.17  | 2000  | 4.8038          |
+| 4.565         | 1.46  | 2500  | 4.6827          |
+| 4.4479        | 1.75  | 3000  | 4.5721          |
+| 4.3359        | 2.04  | 3500  | 4.4944          |
+| 4.1336        | 2.33  | 4000  | 4.4442          |
+| 4.1041        | 2.62  | 4500  | 4.3954          |
+| 4.063         | 2.91  | 5000  | 4.3376          |
+| 3.8757        | 3.21  | 5500  | 4.3348          |
+| 3.8025        | 3.5   | 6000  | 4.3031          |
+| 3.7886        | 3.79  | 6500  | 4.2700          |
+| 3.7012        | 4.08  | 7000  | 4.2676          |
+| 3.5218        | 4.37  | 7500  | 4.2626          |
+| 3.5166        | 4.66  | 8000  | 4.2503          |
+| 3.5012        | 4.95  | 8500  | 4.2361          |
+| 3.3576        | 5.24  | 9000  | 4.2482          |
+| 3.3265        | 5.54  | 9500  | 4.2487          |
+| 3.3229        | 5.83  | 10000 | 4.2470          |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.11.0+cu113
+- Datasets 2.13.0
+- Tokenizers 0.13.3

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": 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": "4.26.1",
+  "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": "4.26.1"
+}

pytorch_model.bin

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special_tokens_map.json

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+{
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "pad_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "model_max_length": 1024,
+  "name_or_path": "gpt2",
+  "special_tokens_map_file": null,
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

training_args.bin

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