Model save

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: google/flan-t5-large
+metrics:
+- rouge
+model-index:
+- name: absa_10_domains_large
+  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. -->
+
+# absa_10_domains_large
+
+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: nan
+- Rouge1: 0.0
+- Rouge2: 0.0
+
+## 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: 0.0003
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss                           | Epoch  | Step | Validation Loss | Rouge1 | Rouge2 |
+|:---------------------------------------:|:------:|:----:|:---------------:|:------:|:------:|
+| 9447968943581024006218927935848448.0000 | 0.9981 | 300  | nan             | 0.0    | 0.0    |
+| 0.0                                     | 1.9996 | 601  | nan             | 0.0    | 0.0    |
+| 0.0                                     | 2.9977 | 901  | nan             | 0.0    | 0.0    |
+| 0.0                                     | 3.9992 | 1202 | nan             | 0.0    | 0.0    |
+| 0.0                                     | 4.9973 | 1502 | nan             | 0.0    | 0.0    |
+| 0.0                                     | 5.9988 | 1803 | nan             | 0.0    | 0.0    |
+| 0.0                                     | 6.9969 | 2103 | nan             | 0.0    | 0.0    |
+| 0.0                                     | 7.9983 | 2404 | nan             | 0.0    | 0.0    |
+| 0.0                                     | 8.9998 | 2705 | nan             | 0.0    | 0.0    |
+| 0.0                                     | 9.9813 | 3000 | nan             | 0.0    | 0.0    |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.40.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1