End of training

README.md

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+---
+license: apache-2.0
+base_model: stevhliu/my_awesome_billsum_model
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: Modelo_Resumen
+  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. -->
+
+# Modelo_Resumen
+
+This model is a fine-tuned version of [stevhliu/my_awesome_billsum_model](https://huggingface.co/stevhliu/my_awesome_billsum_model) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2007
+- Rouge1: 0.1957
+- Rouge2: 0.095
+- Rougel: 0.1645
+- Rougelsum: 0.1645
+- Gen Len: 19.0
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 62   | 2.3594          | 0.1957 | 0.0921 | 0.1645 | 0.1645    | 19.0    |
+| No log        | 2.0   | 124  | 2.3268          | 0.194  | 0.0898 | 0.1631 | 0.1631    | 19.0    |
+| No log        | 3.0   | 186  | 2.3013          | 0.194  | 0.0923 | 0.1649 | 0.1648    | 19.0    |
+| No log        | 4.0   | 248  | 2.2776          | 0.195  | 0.0932 | 0.166  | 0.1659    | 19.0    |
+| No log        | 5.0   | 310  | 2.2620          | 0.1944 | 0.0925 | 0.165  | 0.1649    | 19.0    |
+| No log        | 6.0   | 372  | 2.2474          | 0.1935 | 0.0917 | 0.1648 | 0.1646    | 19.0    |
+| No log        | 7.0   | 434  | 2.2362          | 0.1931 | 0.0929 | 0.1642 | 0.1642    | 19.0    |
+| No log        | 8.0   | 496  | 2.2276          | 0.1937 | 0.0935 | 0.1642 | 0.1644    | 19.0    |
+| 2.4678        | 9.0   | 558  | 2.2203          | 0.1941 | 0.0938 | 0.164  | 0.164     | 19.0    |
+| 2.4678        | 10.0  | 620  | 2.2141          | 0.195  | 0.0954 | 0.1648 | 0.1648    | 19.0    |
+| 2.4678        | 11.0  | 682  | 2.2095          | 0.1956 | 0.096  | 0.1649 | 0.1649    | 19.0    |
+| 2.4678        | 12.0  | 744  | 2.2055          | 0.1952 | 0.0955 | 0.1645 | 0.1645    | 19.0    |
+| 2.4678        | 13.0  | 806  | 2.2030          | 0.1945 | 0.0947 | 0.1639 | 0.1638    | 19.0    |
+| 2.4678        | 14.0  | 868  | 2.2014          | 0.1956 | 0.095  | 0.1644 | 0.1644    | 19.0    |
+| 2.4678        | 15.0  | 930  | 2.2007          | 0.1957 | 0.095  | 0.1645 | 0.1645    | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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

model.safetensors

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runs/Mar07_20-01-56_e31b65627356/events.out.tfevents.1709841717.e31b65627356.3546.2

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