Model save

README.md

@@ -0,0 +1,70 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: summarize_model
+  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. -->
+
+# summarize_model
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7638
+- Rouge1: 0.2453
+- Rouge2: 0.1053
+- Rougel: 0.1992
+- Rougelsum: 0.1988
+- Gen Len: 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: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 100  | 1.8301          | 0.2376 | 0.0971 | 0.1916 | 0.1915    | 19.0    |
+| No log        | 2.0   | 200  | 1.7931          | 0.2424 | 0.0991 | 0.1954 | 0.1953    | 19.0    |
+| No log        | 3.0   | 300  | 1.7741          | 0.241  | 0.1015 | 0.1954 | 0.1952    | 19.0    |
+| No log        | 4.0   | 400  | 1.7658          | 0.244  | 0.105  | 0.1986 | 0.1983    | 19.0    |
+| 2.0548        | 5.0   | 500  | 1.7638          | 0.2453 | 0.1053 | 0.1992 | 0.1988    | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.46.3"
+}

runs/Dec06_00-53-28_fe3dc0b6f58a/events.out.tfevents.1733446469.fe3dc0b6f58a.766.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c63e978b618f3d9513935cda2bd68e5fb6e2a83192460ab1be37cfb7fb8a285f
-size 8337
+oid sha256:e2047b0d4e01178746bd8998e4f4357a7d2f53644346e7ff9aff5626b59041ca
+size 9216

tokenizer.json

@@ -1,11 +1,6 @@
 {
   "version": "1.0",
-  "truncation": {
-    "direction": "Right",
-    "max_length": 128,
-    "strategy": "LongestFirst",
-    "stride": 0
-  },
+  "truncation": null,
   "padding": null,
   "added_tokens": [
     {