End of training

README.md

@@ -0,0 +1,73 @@
+---
+library_name: transformers
+license: bsd-3-clause
+base_model: pszemraj/led-base-book-summary
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: LED-cnn-dataset-summarization
+  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. -->
+
+# LED-cnn-dataset-summarization
+
+This model is a fine-tuned version of [pszemraj/led-base-book-summary](https://huggingface.co/pszemraj/led-base-book-summary) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0098
+- Rouge1: 0.4061
+- Rouge2: 0.1676
+- Rougel: 0.2695
+- Rougelsum: 0.3756
+- Gen Len: 79.036
+
+## 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: 8
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 250  | 1.8883          | 0.4074 | 0.1733 | 0.2733 | 0.3741    | 81.696  |
+| 1.9196        | 2.0   | 500  | 1.8782          | 0.4105 | 0.1738 | 0.2735 | 0.3789    | 85.312  |
+| 1.9196        | 3.0   | 750  | 1.8763          | 0.408  | 0.1734 | 0.2747 | 0.3754    | 84.348  |
+| 1.4188        | 4.0   | 1000 | 1.9043          | 0.4086 | 0.1716 | 0.273  | 0.3795    | 79.842  |
+| 1.4188        | 5.0   | 1250 | 1.9344          | 0.4084 | 0.1686 | 0.2713 | 0.377     | 79.926  |
+| 1.168         | 6.0   | 1500 | 1.9623          | 0.4121 | 0.1733 | 0.2749 | 0.3813    | 77.228  |
+| 1.168         | 7.0   | 1750 | 2.0004          | 0.4092 | 0.1711 | 0.273  | 0.3794    | 77.102  |
+| 1.0279        | 8.0   | 2000 | 2.0098          | 0.4061 | 0.1676 | 0.2695 | 0.3756    | 79.036  |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

generation_config.json

@@ -0,0 +1,14 @@
+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "length_penalty": 0.8,
+  "max_length": 1024,
+  "min_length": 8,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 1,
+  "repetition_penalty": 3.5,
+  "transformers_version": "4.44.2"
+}

runs/Sep27_09-12-55_f68e37cd9282/events.out.tfevents.1727428376.f68e37cd9282.919.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6b4b0b73e9ac0af223f93b2c82e3b4d2cefcef7002907f876e648e1d10f6f307
-size 10282
+oid sha256:cdcda3f34bfd00d0a2794ccd8bd00c9be90c923589fa9dda5fdf20d27538baf1
+size 11161