update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- shc_deva_ds
+metrics:
+- f1
+model-index:
+- name: assets
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: shc_deva_ds
+      type: shc_deva_ds
+      args: SHCAdverseEvents
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.3333333333333333
+---
+
+<!-- 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. -->
+
+# assets
+
+This model is a fine-tuned version of [iHealthGroup/shc-lm-v1](https://huggingface.co/iHealthGroup/shc-lm-v1) on the shc_deva_ds dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7051
+- F1: 0.3333
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 1.1628        | 0.62  | 400  | 0.7051          | 0.3333 |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.13.0+cpu
+- Datasets 2.4.0
+- Tokenizers 0.11.6