fix: typo in table generation

README.md

@@ -20,6 +20,8 @@ For complete usage instructions and more information, please refer to our [docum
 | `vecnorm_type`     | `None`   | Type of the vector norm.                                                 |
 | `atomic_energies`  | `average`| Treatment of the atomic energies.                                        |
 | `avg_um_neighbors` | `None`   | Mean number of neighbors.                                                |
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 For more information about ViSNet hyperparameters,
 please refer to our [documentation](https://instadeep.github.io/mlip/api_reference/models/visnet.html#mlip.models.visnet.config.VisnetConfig)
 ## Training
@@ -38,6 +40,8 @@ We use our default MLIP optimizer in v1.0.0 with the following settings:
 | `transition_steps`               | `360000`       | Number of optimizer transition steps.                           |
 | `grad_norm`                      | `500`          | Gradient norm used for gradient clipping.                       |
 | `num_gradient_accumulation_steps`| `1`            | Steps to accumulate before taking an optimizer step.            |
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 For more information about the optimizer,
 please refer to our [documentation](https://instadeep.github.io/mlip/api_reference/training/optimizer.html#mlip.training.optimizer_config.OptimizerConfig)
 ## Dataset
@@ -47,6 +51,8 @@ please refer to our [documentation](https://instadeep.github.io/mlip/api_referen
 | `max_n_node`                | `32`  | Maximum number of nodes allowed in a batch.|
 | `max_n_edge`                | `288` | Maximum number of edges allowed in a batch.|
 | `batch_size`                | `16`  | Number of graphs in a batch.               |
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 This model was trained on the [SPICE2_curated dataset](https://huggingface.co/datasets/InstaDeepAI/SPICE2-curated).
 For more information about dataset configuration
 please refer to our [documentation](https://instadeep.github.io/mlip/api_reference/data/dataset_configs.html#mlip.data.configs.GraphDatasetBuilderConfig)