Training complete

README.md

@@ -0,0 +1,72 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: ADL_HW2_MT5_prefix
+  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. -->
+
+# ADL_HW2_MT5_prefix
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2666
+- Rouge1: 14.9351
+- Rouge2: 5.1774
+- Rougel: 14.8449
+- Rougelsum: 14.8557
+
+## 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: 5.6e-05
+- train_batch_size: 24
+- eval_batch_size: 24
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 5.5187        | 1.0   | 905  | 3.6796          | 10.8834 | 3.8911 | 10.7836 | 10.7678   |
+| 4.1348        | 2.0   | 1810 | 3.5007          | 12.6862 | 4.7919 | 12.5718 | 12.6073   |
+| 3.9168        | 3.0   | 2715 | 3.4039          | 13.4387 | 4.9163 | 13.3294 | 13.3195   |
+| 3.7837        | 4.0   | 3620 | 3.3405          | 13.7297 | 4.8865 | 13.6301 | 13.6512   |
+| 3.7018        | 5.0   | 4525 | 3.3057          | 14.034  | 5.1596 | 13.9229 | 13.9201   |
+| 3.6474        | 6.0   | 5430 | 3.2837          | 14.7209 | 5.2105 | 14.6058 | 14.6093   |
+| 3.6058        | 7.0   | 6335 | 3.2764          | 14.8731 | 5.0734 | 14.7598 | 14.7795   |
+| 3.5881        | 8.0   | 7240 | 3.2666          | 14.9351 | 5.1774 | 14.8449 | 14.8557   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.44.2"
+}

runs/Oct07_02-43-03_ce27a0d15952/events.out.tfevents.1728268991.ce27a0d15952.4090.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9febd3ca1e8c12990292e6b083f0a17c2b28deb488ce03af5caee8b6594395d0
-size 10200
+oid sha256:4c8b4809af1459f1a13583dcb2daa941b0c2aa550ab941e4a7754360724431f0
+size 11028