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: LifeScienceBART
+  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. -->
+
+# LifeScienceBART
+
+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: 4.4310
+- Rouge1: 52.3694
+- Rouge2: 17.5874
+- Rougel: 36.4217
+- Rougelsum: 48.765
+- Bertscore Precision: 82.295
+- Bertscore Recall: 83.951
+- Bertscore F1: 83.1121
+- Bleu: 0.1308
+- Gen Len: 227.8869
+
+## 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  |
+|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------------------:|:----------------:|:------------:|:------:|:--------:|
+| 6.1988        | 0.0881 | 100  | 6.0815          | 43.5317 | 12.8172 | 29.5886 | 40.6668   | 78.4798             | 81.4664          | 79.9395      | 0.0939 | 227.8869 |
+| 5.7388        | 0.1762 | 200  | 5.6510          | 41.3899 | 12.8237 | 29.1108 | 38.0304   | 77.5037             | 81.7443          | 79.5601      | 0.0978 | 227.8869 |
+| 5.3718        | 0.2643 | 300  | 5.2822          | 46.279  | 14.1045 | 31.7158 | 43.1347   | 79.8268             | 82.2875          | 81.0344      | 0.1041 | 227.8869 |
+| 5.1682        | 0.3524 | 400  | 5.1072          | 48.1957 | 15.1732 | 32.7384 | 44.0672   | 80.3745             | 82.94            | 81.6328      | 0.1137 | 227.8869 |
+| 5.1315        | 0.4405 | 500  | 4.9408          | 48.9502 | 15.6058 | 33.6297 | 45.5085   | 81.0706             | 83.1289          | 82.0835      | 0.1158 | 227.8869 |
+| 4.9456        | 0.5286 | 600  | 4.7786          | 48.4843 | 15.8565 | 34.014  | 45.2987   | 80.9541             | 83.0806          | 81.9998      | 0.1151 | 227.8869 |
+| 4.8396        | 0.6167 | 700  | 4.6607          | 51.3313 | 16.5503 | 35.0136 | 47.9755   | 82.0251             | 83.4743          | 82.7408      | 0.1210 | 227.8869 |
+| 4.7481        | 0.7048 | 800  | 4.5922          | 51.9257 | 16.9939 | 35.583  | 48.1998   | 82.2219             | 83.8107          | 83.0061      | 0.1262 | 227.8869 |
+| 4.6688        | 0.7929 | 900  | 4.5112          | 51.3896 | 17.1313 | 35.8696 | 47.7303   | 81.926              | 83.7943          | 82.8465      | 0.1277 | 227.8869 |
+| 4.4321        | 0.8810 | 1000 | 4.4624          | 52.6168 | 17.6855 | 36.2987 | 49.0759   | 82.3644             | 83.8994          | 83.1222      | 0.1305 | 227.8869 |
+| 4.5732        | 0.9691 | 1100 | 4.4310          | 52.3694 | 17.5874 | 36.4217 | 48.765    | 82.295              | 83.951           | 83.1121      | 0.1308 | 227.8869 |
+
+
+### 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 sha256:65559d0c636a1da8a7e74d76c1028110a983de64902322794751b4b3431c9979
+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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+version https://git-lfs.github.com/spec/v1
+oid sha256:a0522378999a9d92efa4cfc7565ed7dfc9af604a06532df031b11ea2c56539e0
+size 5112