training completed[dev]: 512 128

README.md

@@ -0,0 +1,81 @@
+---
+license: apache-2.0
+base_model: t5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+- wer
+model-index:
+- name: t-5-base-bertsum-500
+  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. -->
+
+# t-5-base-bertsum-500
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2994
+- Rouge1: 0.6466
+- Rouge2: 0.3657
+- Rougel: 0.5798
+- Rougelsum: 0.5798
+- Wer: 0.5246
+- Bleurt: -0.0784
+
+## 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: 6
+- eval_batch_size: 6
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Wer    | Bleurt  |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|:-------:|
+| No log        | 0.13  | 250  | 1.4553          | 0.6223 | 0.3344 | 0.552  | 0.552     | 0.557  | -0.4294 |
+| 1.9648        | 0.27  | 500  | 1.3993          | 0.6301 | 0.3443 | 0.5613 | 0.5614    | 0.5467 | -0.4022 |
+| 1.9648        | 0.4   | 750  | 1.3747          | 0.6341 | 0.35   | 0.5661 | 0.5661    | 0.5402 | -0.3802 |
+| 1.4858        | 0.53  | 1000 | 1.3547          | 0.638  | 0.3533 | 0.5693 | 0.5693    | 0.5378 | -0.0447 |
+| 1.4858        | 0.66  | 1250 | 1.3431          | 0.639  | 0.3559 | 0.5715 | 0.5715    | 0.5342 | -0.0292 |
+| 1.4484        | 0.8   | 1500 | 1.3321          | 0.6406 | 0.3578 | 0.573  | 0.573     | 0.5322 | -0.0292 |
+| 1.4484        | 0.93  | 1750 | 1.3238          | 0.6418 | 0.3593 | 0.5747 | 0.5747    | 0.5306 | -0.0784 |
+| 1.4226        | 1.06  | 2000 | 1.3185          | 0.6433 | 0.3616 | 0.5762 | 0.5762    | 0.5281 | -0.1084 |
+| 1.4226        | 1.2   | 2250 | 1.3131          | 0.6442 | 0.3624 | 0.5775 | 0.5775    | 0.5277 | -0.1084 |
+| 1.3917        | 1.33  | 2500 | 1.3102          | 0.6453 | 0.3638 | 0.5783 | 0.5783    | 0.5266 | -0.0784 |
+| 1.3917        | 1.46  | 2750 | 1.3060          | 0.6458 | 0.3641 | 0.5788 | 0.5788    | 0.5256 | -0.0292 |
+| 1.4048        | 1.6   | 3000 | 1.3040          | 0.6461 | 0.3649 | 0.5792 | 0.5792    | 0.5253 | -0.0784 |
+| 1.4048        | 1.73  | 3250 | 1.3015          | 0.6463 | 0.3653 | 0.5796 | 0.5795    | 0.525  | -0.0292 |
+| 1.3803        | 1.86  | 3500 | 1.2999          | 0.6463 | 0.3654 | 0.5795 | 0.5795    | 0.5247 | -0.0784 |
+| 1.3803        | 1.99  | 3750 | 1.2994          | 0.6466 | 0.3657 | 0.5798 | 0.5798    | 0.5246 | -0.0784 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

all_results.json

@@ -0,0 +1,12 @@
+{
+    "test_BLEURT": -1.4601,
+    "test_WER": 0.5257,
+    "test_loss": 1.3316419124603271,
+    "test_rouge1": 0.644,
+    "test_rouge2": 0.3634,
+    "test_rougeL": 0.5779,
+    "test_rougeLsum": 0.5777,
+    "test_runtime": 31.573,
+    "test_samples_per_second": 11.941,
+    "test_steps_per_second": 1.995
+}

generation_config.json

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

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 size 891644712

runs/Apr01_04-03-05_3b5fa3031018/events.out.tfevents.1711944193.3b5fa3031018.361.3

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+size 15976

test_results.json

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+{
+    "test_BLEURT": -1.4601,
+    "test_WER": 0.5257,
+    "test_loss": 1.3316419124603271,
+    "test_rouge1": 0.644,
+    "test_rouge2": 0.3634,
+    "test_rougeL": 0.5779,
+    "test_rougeLsum": 0.5777,
+    "test_runtime": 31.573,
+    "test_samples_per_second": 11.941,
+    "test_steps_per_second": 1.995
+}