End of training

README.md

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+---
+license: apache-2.0
+base_model: ainize/bart-base-cnn
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: bart-base-cnn-YT-transcript-sum
+  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. -->
+
+# bart-base-cnn-YT-transcript-sum
+
+This model is a fine-tuned version of [ainize/bart-base-cnn](https://huggingface.co/ainize/bart-base-cnn) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4969
+- Rouge1: 27.1516
+- Rouge2: 14.6227
+- Rougel: 23.3968
+- Rougelsum: 25.4786
+- Gen Len: 19.9954
+
+## 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| No log        | 1.0   | 216  | 1.5374          | 24.7307 | 11.5124 | 20.6823 | 22.9189   | 19.9630 |
+| No log        | 2.0   | 432  | 1.4976          | 26.825  | 14.0512 | 23.2078 | 25.2044   | 19.9583 |
+| 1.5449        | 3.0   | 648  | 1.4969          | 27.1516 | 14.6227 | 23.3968 | 25.4786   | 19.9954 |
+| 1.5449        | 4.0   | 864  | 1.5345          | 27.2526 | 15.0873 | 23.8556 | 25.7798   | 19.9861 |
+| 0.9           | 5.0   | 1080 | 1.5962          | 26.8267 | 14.7267 | 23.2263 | 25.2149   | 19.9676 |
+| 0.9           | 6.0   | 1296 | 1.6378          | 26.8444 | 14.8753 | 23.254  | 25.2943   | 19.9815 |
+| 0.5749        | 7.0   | 1512 | 1.6819          | 27.1776 | 14.898  | 23.2454 | 25.4298   | 19.9583 |
+| 0.5749        | 8.0   | 1728 | 1.7360          | 26.9518 | 15.308  | 23.6574 | 25.2991   | 19.9769 |
+| 0.5749        | 9.0   | 1944 | 1.7796          | 27.9253 | 15.7998 | 24.4827 | 26.4424   | 19.9769 |
+| 0.3668        | 10.0  | 2160 | 1.8078          | 26.9211 | 15.0903 | 23.4484 | 25.4369   | 19.9815 |
+| 0.3668        | 11.0  | 2376 | 1.8405          | 27.4434 | 15.3608 | 23.903  | 25.8117   | 19.9861 |
+| 0.255         | 12.0  | 2592 | 1.8447          | 27.7175 | 15.7173 | 24.2096 | 26.0946   | 19.9815 |
+| 0.255         | 13.0  | 2808 | 1.8834          | 27.2409 | 15.3865 | 23.7314 | 25.7682   | 19.9815 |
+| 0.192         | 14.0  | 3024 | 1.8796          | 27.2939 | 15.5502 | 23.8294 | 25.7409   | 19.9815 |
+| 0.192         | 15.0  | 3240 | 1.8851          | 27.6741 | 15.771  | 24.1976 | 26.1196   | 19.9722 |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "ainize/bart-base-cnn",
+  "activation_dropout": 0.1,
+  "activation_function": "gelu",
+  "add_bias_logits": false,
+  "add_final_layer_norm": false,
+  "architectures": [
+    "BartForConditionalGeneration"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 0,
+  "classif_dropout": 0.1,
+  "classifier_dropout": 0.0,
+  "d_model": 768,
+  "decoder_attention_heads": 12,
+  "decoder_ffn_dim": 3072,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "decoder_start_token_id": 2,
+  "dropout": 0.1,
+  "early_stopping": true,
+  "encoder_attention_heads": 12,
+  "encoder_ffn_dim": 3072,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "max_position_embeddings": 1024,
+  "model_type": "bart",
+  "no_repeat_ngram_size": 3,
+  "normalize_before": false,
+  "normalize_embedding": true,
+  "num_beams": 4,
+  "num_hidden_layers": 6,
+  "pad_token_id": 1,
+  "scale_embedding": false,
+  "task_specific_params": {
+    "summarization": {
+      "length_penalty": 1.0,
+      "max_length": 128,
+      "min_length": 12,
+      "num_beams": 4
+    },
+    "summarization_cnn": {
+      "length_penalty": 2.0,
+      "max_length": 142,
+      "min_length": 56,
+      "num_beams": 4
+    },
+    "summarization_xsum": {
+      "length_penalty": 1.0,
+      "max_length": 62,
+      "min_length": 11,
+      "num_beams": 6
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.2",
+  "use_cache": true,
+  "vocab_size": 50265
+}

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 1,
+  "transformers_version": "4.33.2"
+}

pytorch_model.bin

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+size 557971229

special_tokens_map.json

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+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "model_max_length": 1024,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "BartTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

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