End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+datasets:
+- samsum
+metrics:
+- rouge
+model-index:
+- name: t5_samsum_model_sam
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: samsum
+      type: samsum
+      config: samsum
+      split: test
+      args: samsum
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 0.33
+---
+
+<!-- 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. -->
+
+# t5_samsum_model_sam
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the samsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1240
+- Rouge1: 0.33
+- Rouge2: 0.1086
+- Rougel: 0.2656
+- Rougelsum: 0.2653
+- Gen Len: 17.2683
+
+## 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: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 41   | 2.3252          | 0.2375 | 0.0523 | 0.1961 | 0.1962    | 18.5122 |
+| No log        | 2.0   | 82   | 2.1844          | 0.3122 | 0.09   | 0.2545 | 0.2549    | 18.0732 |
+| No log        | 3.0   | 123  | 2.1367          | 0.3202 | 0.1016 | 0.2578 | 0.2576    | 17.5732 |
+| No log        | 4.0   | 164  | 2.1240          | 0.33   | 0.1086 | 0.2656 | 0.2653    | 17.2683 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

generation_config.json

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

runs/Oct21_23-10-57_dc37bab8f094/events.out.tfevents.1729552259.dc37bab8f094.559.0

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