update model card README.md

README.md

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+---
+base_model: seyonec/ChemBERTa-zinc-base-v1
+tags:
+- generated_from_trainer
+model-index:
+- name: ChemBERTa-zinc-base-v1-finetuned-tchard
+  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. -->
+
+# ChemBERTa-zinc-base-v1-finetuned-tchard
+
+This model is a fine-tuned version of [seyonec/ChemBERTa-zinc-base-v1](https://huggingface.co/seyonec/ChemBERTa-zinc-base-v1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0402
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 1140 | 0.1824          |
+| 0.7769        | 2.0   | 2280 | 0.0526          |
+| 0.0926        | 3.0   | 3420 | 0.0407          |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.3
+- Tokenizers 0.13.3