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README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: google/flan-t5-large
+tags:
+- generated_from_trainer
+model-index:
+- name: litbank-coref-mem-large-peft-single-7-10
+  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. -->
+
+# litbank-coref-mem-large-peft-single-7-10
+
+This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0060
+
+## 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: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Use adafactor and the args are:
+No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.0118        | 1.0   | 6986  | 0.0068          |
+| 0.0105        | 2.0   | 13972 | 0.0064          |
+| 0.0097        | 3.0   | 20958 | 0.0061          |
+| 0.01          | 4.0   | 27944 | 0.0060          |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.3.1
+- Tokenizers 0.21.0