End of training

README.md

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+---
+license: apache-2.0
+base_model: google/long-t5-tglobal-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: Word-selector
+  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. -->
+
+# Word-selector
+
+This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0659
+- Rouge1: 0.3077
+- Rouge2: 0.0523
+- Rougel: 0.2373
+- Rougelsum: 0.2375
+- Gen Len: 50.2144
+
+## 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: 0.0002
+- 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.7905        | 1.0   | 800  | 2.2300          | 0.1838 | 0.0234 | 0.1522 | 0.1525    | 58.5994 |
+| 2.3488        | 2.0   | 1600 | 2.1395          | 0.2251 | 0.0339 | 0.1816 | 0.182     | 61.4869 |
+| 2.2336        | 3.0   | 2400 | 2.1009          | 0.2553 | 0.0406 | 0.2052 | 0.2053    | 56.9838 |
+| 2.1005        | 4.0   | 3200 | 2.0684          | 0.2777 | 0.0452 | 0.2161 | 0.2163    | 54.5738 |
+| 2.0007        | 5.0   | 4000 | 2.0559          | 0.2907 | 0.0463 | 0.2247 | 0.2248    | 54.0806 |
+| 1.9248        | 6.0   | 4800 | 2.0623          | 0.2981 | 0.0475 | 0.2306 | 0.2308    | 50.3856 |
+| 1.8686        | 7.0   | 5600 | 2.0513          | 0.3013 | 0.0508 | 0.2326 | 0.2327    | 53.965  |
+| 1.831         | 8.0   | 6400 | 2.0531          | 0.3083 | 0.0517 | 0.2355 | 0.2357    | 51.4162 |
+| 1.7752        | 9.0   | 7200 | 2.0623          | 0.3022 | 0.0514 | 0.2326 | 0.2329    | 51.6419 |
+| 1.7515        | 10.0  | 8000 | 2.0659          | 0.3077 | 0.0523 | 0.2373 | 0.2375    | 50.2144 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.15.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "max_length": 100,
+  "pad_token_id": 0,
+  "transformers_version": "4.37.2"
+}

runs/Oct18_14-47-20_user/events.out.tfevents.1729243041.user.935350.0

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