p-tuning-t2t-gpt2-large-with-sst2

README.md

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+---
+license: mit
+base_model: gpt2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+library_name: peft
+model-index:
+- name: p-tuning-t2t-gpt2-large-with-sst2
+  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. -->
+
+# p-tuning-t2t-gpt2-large-with-sst2
+
+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: 0.4929
+- Accuracy: 0.7741
+
+## 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: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.6984        | 1.0   | 4210  | 0.7020          | 0.5138   |
+| 0.6766        | 2.0   | 8420  | 0.6971          | 0.5138   |
+| 0.5377        | 3.0   | 12630 | 0.5625          | 0.7087   |
+| 0.5375        | 4.0   | 16840 | 0.5481          | 0.7282   |
+| 0.5209        | 5.0   | 21050 | 0.5278          | 0.7420   |
+| 0.5235        | 6.0   | 25260 | 0.5357          | 0.7374   |
+| 0.5311        | 7.0   | 29470 | 0.5342          | 0.7294   |
+| 0.5545        | 8.0   | 33680 | 0.5135          | 0.7511   |
+| 0.5406        | 9.0   | 37890 | 0.5138          | 0.7397   |
+| 0.523         | 10.0  | 42100 | 0.5192          | 0.7580   |
+| 0.5248        | 11.0  | 46310 | 0.4997          | 0.7706   |
+| 0.559         | 12.0  | 50520 | 0.5063          | 0.7649   |
+| 0.582         | 13.0  | 54730 | 0.4958          | 0.7741   |
+| 0.4796        | 14.0  | 58940 | 0.4981          | 0.7706   |
+| 0.4173        | 15.0  | 63150 | 0.4911          | 0.7626   |
+| 0.4449        | 16.0  | 67360 | 0.4932          | 0.7718   |
+| 0.4697        | 17.0  | 71570 | 0.4917          | 0.7741   |
+| 0.3779        | 18.0  | 75780 | 0.4931          | 0.7729   |
+| 0.449         | 19.0  | 79990 | 0.4929          | 0.7729   |
+| 0.4938        | 20.0  | 84200 | 0.4929          | 0.7741   |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.40.1
+- Pytorch 2.5.0
+- Datasets 3.0.1
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "gpt2",
+  "encoder_dropout": 0.0,
+  "encoder_hidden_size": 768,
+  "encoder_num_layers": 2,
+  "encoder_reparameterization_type": "MLP",
+  "inference_mode": true,
+  "num_attention_heads": 12,
+  "num_layers": 12,
+  "num_transformer_submodules": 1,
+  "num_virtual_tokens": 20,
+  "peft_type": "P_TUNING",
+  "revision": null,
+  "task_type": "SEQ_CLS",
+  "token_dim": 768
+}

adapter_model.safetensors

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+oid sha256:107c0b6f888f2b04719dfbd667c1e4a4f5c424d35b52f7c9a2d2a2928bf847b8
+size 64720

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,
+  "added_tokens_decoder": {
+    "50256": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "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|>",
+  "padding_side": "left",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
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+size 5048