End of training

README.md

@@ -0,0 +1,85 @@
+---
+license: mit
+base_model: alexdg19/bert_large_xsum_samsum2
+tags:
+- generated_from_trainer
+datasets:
+- cnn_dailymail
+metrics:
+- rouge
+model-index:
+- name: bert_large_cnn_daily
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: cnn_dailymail
+      type: cnn_dailymail
+      config: 3.0.0
+      split: test
+      args: 3.0.0
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 0.4251
+---
+
+<!-- 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. -->
+
+# bert_large_cnn_daily
+
+This model is a fine-tuned version of [alexdg19/bert_large_xsum_samsum2](https://huggingface.co/alexdg19/bert_large_xsum_samsum2) on the cnn_dailymail dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7065
+- Rouge1: 0.4251
+- Rouge2: 0.2024
+- Rougel: 0.2992
+- Rougelsum: 0.3961
+- Gen Len: 60.6232
+
+## 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: 3
+- eval_batch_size: 3
+- seed: 42
+- gradient_accumulation_steps: 3
+- total_train_batch_size: 9
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 1.6632        | 1.0   | 1021 | 1.6262          | 0.4191 | 0.1992 | 0.2957 | 0.39      | 60.6205 |
+| 1.3734        | 2.0   | 2042 | 1.6078          | 0.4253 | 0.2046 | 0.3009 | 0.397     | 61.0692 |
+| 1.1497        | 3.0   | 3064 | 1.6759          | 0.4254 | 0.2033 | 0.2998 | 0.3967    | 60.8555 |
+| 1.0123        | 4.0   | 4084 | 1.7065          | 0.4251 | 0.2024 | 0.2992 | 0.3961    | 60.6232 |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

generation_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "max_length": 62,
+  "min_length": 11,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 6,
+  "pad_token_id": 1,
+  "transformers_version": "4.35.0"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b0706d1a74c99da1b396d871cecd524b9d7c134d31d973a9dc0e47bddae96ee7
+oid sha256:eb38e53770a79dc7bf0f6e7b427c5c86534990fac1c0be6ae523aa638be282fb
 size 1625422896

runs/Nov13_14-37-03_75bc1f6d1a37/events.out.tfevents.1699886229.75bc1f6d1a37.302.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:720633786f2023b75228bae1c6f8fc5a5c84510f435fa79d99c7c11d9704679d
-size 8153
+oid sha256:9b0f202178a547be9efb4232fbee632044ab54ffc048ecda86ce7a15899c065f
+size 9032