End of training

README.md

@@ -0,0 +1,82 @@
+---
+license: apache-2.0
+base_model: allenai/led-base-16384
+tags:
+- generated_from_trainer
+datasets:
+- wcep-10
+metrics:
+- rouge
+model-index:
+- name: thesis-led-finetuned-on-wcep
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: wcep-10
+      type: wcep-10
+      config: roberta
+      split: validation
+      args: roberta
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 43.4358
+---
+
+<!-- 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. -->
+
+# thesis-led-finetuned-on-wcep
+
+This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the wcep-10 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6816
+- Rouge1: 43.4358
+- Rouge2: 21.8159
+- Rougel: 35.0411
+- Rougelsum: 36.1007
+- Gen Len: 27.2843
+
+## 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: 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: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 1.6843        | 1.0   | 2040 | 1.6753          | 42.8519 | 21.8933 | 35.0226 | 35.9911   | 25.6647 |
+| 1.4083        | 2.0   | 4080 | 1.6672          | 43.5166 | 22.0845 | 35.283  | 36.4006   | 26.4098 |
+| 1.1981        | 3.0   | 6120 | 1.6816          | 43.4358 | 21.8159 | 35.0411 | 36.1007   | 27.2843 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.39.3"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c8e2bc3b9a58108584d6e0978b00b8f871ecd9064da7e08547f212700529f06f
+oid sha256:65b519cb48ed691605681b217db9a3cc9f61513dc7aa8b629089192ad1e5efc7
 size 647614116