End of training

README.md

@@ -1,3 +1,64 @@
 ---
-pipeline_tag: summarization
----
+base_model: ashishkgpian/astromer
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: T5_base_title_v4
+  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. -->
+
+# T5_base_title_v4
+
+This model is a fine-tuned version of [ashishkgpian/astromer](https://huggingface.co/ashishkgpian/astromer) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2991
+- Rouge1: 0.4572
+- Rouge2: 0.2619
+- Rougel: 0.4024
+- Rougelsum: 0.4025
+- Gen Len: 16.7242
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 1.5071        | 1.0   | 4038 | 1.2991          | 0.4572 | 0.2619 | 0.4024 | 0.4025    | 16.7242 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.1

generation_config.json

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+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.38.2"
+}

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