End of training

README.md

@@ -0,0 +1,74 @@
+---
+library_name: transformers
+base_model: htdung167/VietAI_ViPubmedT5_t5x_converted
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: faqsum_fine-tune_vietai_vipubmedt5-base_4epochs_v1
+  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. -->
+
+# faqsum_fine-tune_vietai_vipubmedt5-base_4epochs_v1
+
+This model is a fine-tuned version of [htdung167/VietAI_ViPubmedT5_t5x_converted](https://huggingface.co/htdung167/VietAI_ViPubmedT5_t5x_converted) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0506
+- Rouge1: 0.725
+- Rouge2: 0.5785
+- Rougel: 0.684
+- Rougelsum: 0.6849
+- Gen Len: 16.2157
+
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: constant
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 1.1558        | 0.4006 | 133  | 1.1219          | 0.7022 | 0.5538 | 0.6592 | 0.6598    | 28.6471 |
+| 1.136         | 0.8012 | 266  | 1.0128          | 0.7085 | 0.5623 | 0.6703 | 0.6706    | 25.417  |
+| 0.8667        | 1.2018 | 399  | 1.0023          | 0.724  | 0.5806 | 0.6855 | 0.6859    | 15.9434 |
+| 0.7045        | 1.6024 | 532  | 0.9938          | 0.7213 | 0.5804 | 0.6837 | 0.6843    | 19.3982 |
+| 0.8247        | 2.0030 | 665  | 0.9750          | 0.727  | 0.5841 | 0.6878 | 0.6877    | 17.0151 |
+| 0.6886        | 2.4036 | 798  | 0.9992          | 0.7242 | 0.5792 | 0.6826 | 0.6829    | 16.7345 |
+| 0.7363        | 2.8042 | 931  | 0.9992          | 0.7234 | 0.5756 | 0.6812 | 0.6815    | 17.7134 |
+| 0.4797        | 3.2048 | 1064 | 1.0674          | 0.7295 | 0.585  | 0.6907 | 0.6912    | 15.6961 |
+| 0.4926        | 3.6054 | 1197 | 1.0506          | 0.725  | 0.5785 | 0.684  | 0.6849    | 16.2157 |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.7.0+cu126
+- Datasets 3.6.0
+- Tokenizers 0.21.1

generation_config.json

@@ -0,0 +1,8 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "max_length": 1024,
+  "pad_token_id": 0,
+  "transformers_version": "4.51.3",
+  "use_cache": false
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:765b7038696920bea14c412f51b07dfad0458aa230522e24c9a29c2726ed4c14
+oid sha256:ea4af2aabc63529c662dffef2bddc6a077acd45796fd17bee3c3c6cc55246d7a
 size 903834408