End of training

README.md

@@ -1,37 +1,66 @@
 ---
+base_model: ubaada/lsg-bart-large-4096-booksum
 tags:
-- summarization
-- summary
-- booksum
-- long-document
-- long-form
-datasets:
-- ubaada/booksum-complete-cleaned
-language:
-- en
-pipeline_tag: summarization
+- generated_from_trainer
 metrics:
 - rouge
 model-index:
-  - name: ubaada/lsg-bart-large-4096-booksum
-    results:
-      - task:
-          type: summarization
-          name: Summarization
-        dataset:
-          name: BookSum
-          type: ubaada/booksum-complete-cleaned
-          config: ubaada--booksum
-          split: test
-        metrics:
-          - type: rouge
-            value: 35.116342
-            name: ROUGE-1
-            verified: false
-          - type: rouge
-            value: 8.574494
-            name: ROUGE-2
-            verified: false
+- name: lsg-bart-large-4096-booksum
+  results: []
 ---
 
-Trained for 1 epoch on ubaada/booksum-complete-cleaned.
+<!-- 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. -->
+
+# lsg-bart-large-4096-booksum
+
+This model is a fine-tuned version of [ubaada/lsg-bart-large-4096-booksum](https://huggingface.co/ubaada/lsg-bart-large-4096-booksum) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0742
+- Rouge1: 0.4145
+- Rouge2: 0.0797
+- Rougel: 0.1541
+
+## 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: 8e-05
+- train_batch_size: 8
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
+| 1.3801        | 1.0   | 1251 | 2.0441          | 0.4223 | 0.0811 | 0.1532 |
+| 1.2385        | 2.0   | 2502 | 2.0753          | 0.3995 | 0.0751 | 0.1512 |
+| 0.9542        | 3.0   | 3753 | 2.0742          | 0.4145 | 0.0797 | 0.1541 |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.2.0
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

@@ -87,7 +87,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.19.2",
+  "transformers_version": "4.40.2",
   "use_cache": true,
   "vocab_size": 50265
 }

generation_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "forced_bos_token_id": 0,
+  "forced_eos_token_id": 2,
+  "max_length": 2048,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 5,
+  "pad_token_id": 1,
+  "repetition_penalty": 2.0,
+  "transformers_version": "4.40.2"
+}

merges.txt

@@ -1,4 +1,4 @@
-#version: 0.2 - Trained by `huggingface/tokenizers`
+#version: 0.2
 Ġ t
 Ġ a
 h e

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b71c0580da2a3fb1df066ddda88b99824ba70dadd4fbe0ff2e0ae03406b9f04c
-size 1650592852
+oid sha256:d9f6853726455387d47ecbc7f94866d2dcca5695e87fb950c563e151e1aba420
+size 1652690124

tokenizer_config.json

@@ -48,10 +48,17 @@
   "eos_token": "</s>",
   "errors": "replace",
   "mask_token": "<mask>",
+  "max_length": 1024,
   "model_max_length": 4096,
+  "pad_to_multiple_of": null,
   "pad_token": "<pad>",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
   "sep_token": "</s>",
+  "stride": 0,
   "tokenizer_class": "BartTokenizer",
   "trim_offsets": true,
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
   "unk_token": "<unk>"
 }

training_args.bin

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+size 6712