End of training

README.md

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+---
+license: mit
+base_model: facebook/bart-large-cnn
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: finetuned_bart_large_custom
+  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. -->
+
+# finetuned_bart_large_custom
+
+This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.8324
+- Rouge1: 39.9143
+- Rouge2: 10.7144
+- Rougel: 21.1537
+- Rougelsum: 35.81
+- Gen Len: 131.6667
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
+| No log        | 1.0   | 16   | 4.3093          | 39.1367 | 9.9819  | 21.0796 | 35.3746   | 132.0741 |
+| No log        | 2.0   | 32   | 4.2921          | 39.0619 | 9.8356  | 21.7437 | 35.6597   | 131.7037 |
+| No log        | 3.0   | 48   | 4.3876          | 39.5314 | 10.337  | 21.0096 | 35.9973   | 131.2593 |
+| No log        | 4.0   | 64   | 4.4020          | 39.3551 | 9.9689  | 21.4343 | 35.3958   | 131.1481 |
+| No log        | 5.0   | 80   | 4.3744          | 39.7603 | 10.4124 | 21.6535 | 35.4996   | 132.963  |
+| No log        | 6.0   | 96   | 4.4821          | 39.9859 | 11.0712 | 22.2449 | 35.7868   | 132.4074 |
+| No log        | 7.0   | 112  | 4.6017          | 38.765  | 10.3317 | 20.9319 | 34.6675   | 132.2593 |
+| No log        | 8.0   | 128  | 4.4419          | 39.9964 | 10.3341 | 20.9618 | 35.8621   | 130.2222 |
+| No log        | 9.0   | 144  | 4.4990          | 39.8075 | 10.3829 | 21.3509 | 35.9882   | 128.7407 |
+| No log        | 10.0  | 160  | 4.7017          | 38.6152 | 9.9282  | 20.4588 | 34.4487   | 131.9259 |
+| No log        | 11.0  | 176  | 4.5497          | 39.0296 | 9.9429  | 20.8087 | 34.4624   | 132.6296 |
+| No log        | 12.0  | 192  | 4.7301          | 38.8819 | 9.5937  | 20.929  | 34.7983   | 131.4444 |
+| No log        | 13.0  | 208  | 4.5114          | 38.4163 | 9.6869  | 20.373  | 34.1491   | 123.8519 |
+| No log        | 14.0  | 224  | 4.7097          | 38.4294 | 9.5615  | 20.1514 | 35.0332   | 131.7407 |
+| No log        | 15.0  | 240  | 4.6300          | 38.9564 | 9.6386  | 20.0618 | 34.8298   | 129.963  |
+| No log        | 16.0  | 256  | 4.6916          | 38.5582 | 10.136  | 20.8347 | 34.4795   | 129.8519 |
+| No log        | 17.0  | 272  | 4.6959          | 38.3264 | 9.5281  | 20.5576 | 34.6148   | 128.2963 |
+| No log        | 18.0  | 288  | 4.6756          | 37.5569 | 9.123   | 19.8291 | 33.5111   | 126.6667 |
+| No log        | 19.0  | 304  | 4.7579          | 38.5704 | 9.3654  | 20.1826 | 34.8297   | 131.4815 |
+| No log        | 20.0  | 320  | 4.8128          | 40.158  | 10.3889 | 20.9267 | 36.8965   | 130.1852 |
+| No log        | 21.0  | 336  | 4.7659          | 39.4144 | 10.2445 | 20.4763 | 35.328    | 134.2593 |
+| No log        | 22.0  | 352  | 4.7983          | 40.2859 | 11.0388 | 21.1643 | 36.0311   | 131.9259 |
+| No log        | 23.0  | 368  | 4.7954          | 39.2676 | 10.5795 | 21.1116 | 35.3949   | 130.1481 |
+| No log        | 24.0  | 384  | 4.7991          | 39.8126 | 10.3955 | 21.2952 | 35.7538   | 130.5926 |
+| No log        | 25.0  | 400  | 4.8371          | 39.3481 | 10.2857 | 20.9862 | 35.1724   | 125.1481 |
+| No log        | 26.0  | 416  | 4.8589          | 40.0988 | 10.4426 | 21.7284 | 35.7289   | 130.3333 |
+| No log        | 27.0  | 432  | 4.8423          | 39.9233 | 10.3253 | 21.5853 | 36.1194   | 131.1111 |
+| No log        | 28.0  | 448  | 4.8274          | 40.0388 | 10.1713 | 20.991  | 35.3966   | 130.4444 |
+| No log        | 29.0  | 464  | 4.8313          | 39.8516 | 10.6207 | 21.0394 | 35.6627   | 130.8148 |
+| No log        | 30.0  | 480  | 4.8324          | 39.9143 | 10.7144 | 21.1537 | 35.81     | 131.6667 |
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.1

config.json

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+{
+  "_name_or_path": "facebook/bart-large-cnn",
+  "_num_labels": 3,
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "add_final_layer_norm": false,
+  "architectures": [
+    "BartForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "classif_dropout": 0.0,
+  "classifier_dropout": 0.0,
+  "d_model": 1024,
+  "decoder_attention_heads": 16,
+  "decoder_ffn_dim": 4096,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 12,
+  "decoder_start_token_id": 2,
+  "dropout": 0.1,
+  "early_stopping": true,
+  "encoder_attention_heads": 16,
+  "encoder_ffn_dim": 4096,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 12,
+  "eos_token_id": 2,
+  "force_bos_token_to_be_generated": true,
+  "forced_bos_token_id": 0,
+  "forced_eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "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
+  },
+  "length_penalty": 2.0,
+  "max_length": 142,
+  "max_position_embeddings": 1024,
+  "min_length": 56,
+  "model_type": "bart",
+  "no_repeat_ngram_size": 3,
+  "normalize_before": false,
+  "num_beams": 4,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "prefix": " ",
+  "scale_embedding": false,
+  "task_specific_params": {
+    "summarization": {
+      "early_stopping": true,
+      "length_penalty": 2.0,
+      "max_length": 142,
+      "min_length": 56,
+      "no_repeat_ngram_size": 3,
+      "num_beams": 4
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.0",
+  "use_cache": true,
+  "vocab_size": 50264
+}

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "forced_bos_token_id": 0,
+  "forced_eos_token_id": 2,
+  "length_penalty": 2.0,
+  "max_length": 142,
+  "min_length": 56,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 1,
+  "transformers_version": "4.37.0"
+}

model.safetensors

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special_tokens_map.json

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+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "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,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+  "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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