End of training

README.md

@@ -0,0 +1,82 @@
+---
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+datasets:
+- cnn_dailymail
+metrics:
+- rouge
+model-index:
+- name: cnn_news_summary_model_trained_on_reduced_data
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: cnn_dailymail
+      type: cnn_dailymail
+      config: 3.0.0
+      split: train[:3%]
+      args: 3.0.0
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 0.2182
+---
+
+<!-- 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. -->
+
+# cnn_news_summary_model_trained_on_reduced_data
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the cnn_dailymail dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6040
+- Rouge1: 0.2182
+- Rouge2: 0.0943
+- Rougel: 0.1841
+- Rougelsum: 0.184
+- Generated Length: 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: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Generated Length |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------------:|
+| No log        | 1.0   | 431  | 1.6222          | 0.218  | 0.0936 | 0.1828 | 0.1829    | 19.0             |
+| 1.9218        | 2.0   | 862  | 1.6069          | 0.2176 | 0.0939 | 0.1837 | 0.1836    | 19.0             |
+| 1.8271        | 3.0   | 1293 | 1.6040          | 0.2182 | 0.0943 | 0.1841 | 0.184     | 19.0             |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.0"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d973c9b2e95541dcdb129cac68e2b181802c9d464b2d033d54ed8cc72c6fcbdb
+oid sha256:34927fa7aa4ee415a99051f672d124382c8247f62634c710f7598c5864b842a7
 size 242041896

runs/Nov07_23-35-31_41cbf82bccf2/events.out.tfevents.1699400138.41cbf82bccf2.852.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:85e62a02f6aa84dae50f003c4186cc6e368f755e24ed17c6e2a7913f8075f3e2
-size 6664
+oid sha256:064af8aa6faf006e234e3e3b4fb8ececba1d209c39cdfa4b82458b34b65fca82
+size 7552