End of training

README.md

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+---
+license: apache-2.0
+base_model: google/flan-t5-large
+tags:
+- generated_from_trainer
+model-index:
+- name: flan-t5-large-prompt-tuning-cpgQA
+  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. -->
+
+# flan-t5-large-prompt-tuning-cpgQA
+
+This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1363
+
+## 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: 3e-05
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.192         | 1.0   | 430  | 0.1363          |
+| 0.2402        | 2.0   | 860  | 0.1363          |
+| 0.2249        | 3.0   | 1290 | 0.1363          |
+| 0.2243        | 4.0   | 1720 | 0.1363          |
+| 0.2243        | 5.0   | 2150 | 0.1363          |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

adapter_config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "google/flan-t5-large",
+  "inference_mode": true,
+  "num_attention_heads": 16,
+  "num_layers": 24,
+  "num_transformer_submodules": 2,
+  "num_virtual_tokens": 20,
+  "peft_type": "PROMPT_TUNING",
+  "prompt_tuning_init": "TEXT",
+  "prompt_tuning_init_text": "Answer this question using the provided context",
+  "revision": null,
+  "task_type": "SEQ_2_SEQ_LM",
+  "token_dim": 1024,
+  "tokenizer_name_or_path": "google/flan-t5-large"
+}

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