End of training

README.md

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+---
+license: mit
+base_model: facebook/bart-large-cnn
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+- bleu
+model-index:
+- name: LifeScienceBARTPrincipal
+  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. -->
+
+# LifeScienceBARTPrincipal
+
+This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.6738
+- Rouge1: 49.5951
+- Rouge2: 14.7925
+- Rougel: 33.5728
+- Rougelsum: 46.0607
+- Bertscore Precision: 81.3188
+- Bertscore Recall: 83.0508
+- Bertscore F1: 82.1725
+- Bleu: 0.1002
+- Gen Len: 227.8658
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Bertscore Precision | Bertscore Recall | Bertscore F1 | Bleu   | Gen Len  |
+|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------------------:|:----------------:|:------------:|:------:|:--------:|
+| 6.522         | 0.0881 | 100  | 6.3500          | 39.9657 | 10.1487 | 26.5496 | 37.2024   | 77.4604             | 80.5886          | 78.9876      | 0.0657 | 227.8658 |
+| 6.0286        | 0.1762 | 200  | 5.9070          | 38.2642 | 10.0835 | 26.309  | 35.3774   | 76.6233             | 80.7328          | 78.6174      | 0.0677 | 227.8658 |
+| 5.633         | 0.2643 | 300  | 5.5510          | 46.5639 | 12.278  | 29.4476 | 43.4837   | 79.3971             | 81.6021          | 80.4809      | 0.0788 | 227.8658 |
+| 5.4363        | 0.3524 | 400  | 5.3379          | 45.7917 | 12.3778 | 29.8157 | 42.5627   | 79.5999             | 81.8994          | 80.7293      | 0.0818 | 227.8658 |
+| 5.3556        | 0.4405 | 500  | 5.1825          | 45.7896 | 12.7724 | 30.8163 | 42.7893   | 80.125              | 82.0725          | 81.0835      | 0.0839 | 227.8658 |
+| 5.176         | 0.5286 | 600  | 5.0198          | 46.4704 | 13.3572 | 31.4246 | 43.3941   | 80.2167             | 82.2861          | 81.2343      | 0.0877 | 227.8658 |
+| 5.0712        | 0.6167 | 700  | 4.9271          | 49.2365 | 14.1585 | 32.4079 | 45.6186   | 81.1084             | 82.7557          | 81.9207      | 0.0939 | 227.8658 |
+| 4.9175        | 0.7048 | 800  | 4.8257          | 48.3333 | 14.04   | 32.7436 | 44.7264   | 80.8876             | 82.7874          | 81.8231      | 0.0947 | 227.8658 |
+| 4.9291        | 0.7929 | 900  | 4.7636          | 49.1012 | 14.4773 | 33.113  | 45.5053   | 80.9593             | 82.9139          | 81.9214      | 0.0977 | 227.8658 |
+| 4.6748        | 0.8810 | 1000 | 4.7083          | 49.9025 | 14.8866 | 33.4691 | 46.352    | 81.3587             | 83.0297          | 82.1826      | 0.1002 | 227.8658 |
+| 4.8064        | 0.9691 | 1100 | 4.6738          | 49.5951 | 14.7925 | 33.5728 | 46.0607   | 81.3188             | 83.0508          | 82.1725      | 0.1002 | 227.8658 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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": "4.41.2",
+  "use_cache": true,
+  "vocab_size": 50264
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "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": "4.41.2"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2184f84685d57570160e99f3d2b1fcb2604004825e4459cbd5c031963c6a3257
+size 1625422896

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
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "BartTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

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+oid sha256:0bf94d7ec437eaf5993bc1320dc94c23bd12688def8aaee97ce3619a88600c39
+size 5112