update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- gsm8k
+model-index:
+- name: flan-t5-large-finetuned-gsm8k
+  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-finetuned-gsm8k
+
+This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the gsm8k dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3091
+- Rouge2 Precision: 0.4454
+- Rouge2 Recall: 0.0953
+- Rouge2 Fmeasure: 0.152
+
+## 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: 5e-05
+- train_batch_size: 2
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
+|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
+| 0.34          | 1.0   | 3737  | 0.3206          | 0.4241           | 0.089         | 0.1423          |
+| 0.2786        | 2.0   | 7474  | 0.3089          | 0.4334           | 0.0916        | 0.1463          |
+| 0.247         | 3.0   | 11211 | 0.3074          | 0.4461           | 0.095         | 0.1515          |
+| 0.2283        | 4.0   | 14948 | 0.3091          | 0.4454           | 0.0953        | 0.152           |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- Pytorch 1.12.1+cu113
+- Datasets 2.6.1
+- Tokenizers 0.13.2