End of training

README.md

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+---
+license: mit
+base_model: VietAI/vit5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mymodel_base_10k_sample
+  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. -->
+
+# mymodel_base_10k_sample
+
+This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.9184
+- Rouge1: 0.5671
+- Rouge2: 0.2484
+- Rougel: 0.3595
+- Rougelsum: 0.3595
+- Gen Len: 41.236
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.5062        | 1.0   | 2000  | 2.3325          | 0.5017 | 0.2092 | 0.3239 | 0.3239    | 54.9825 |
+| 1.9813        | 2.0   | 4000  | 2.2335          | 0.5247 | 0.225  | 0.3379 | 0.3379    | 48.8705 |
+| 1.4287        | 3.0   | 6000  | 2.2989          | 0.5466 | 0.2348 | 0.3492 | 0.3491    | 42.505  |
+| 0.9458        | 4.0   | 8000  | 2.5270          | 0.5582 | 0.2476 | 0.3568 | 0.357     | 39.268  |
+| 0.5884        | 5.0   | 10000 | 2.9184          | 0.5671 | 0.2484 | 0.3595 | 0.3595    | 41.236  |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "max_length": 256,
+  "pad_token_id": 0,
+  "transformers_version": "4.36.0.dev0"
+}

runs/Dec10_04-01-25_d5f35c740758/events.out.tfevents.1702180886.d5f35c740758.16149.0

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