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: PhysicalScienceBARTPrincipal
+  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. -->
+
+# PhysicalScienceBARTPrincipal
+
+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: 4.5862
+- Rouge1: 49.7214
+- Rouge2: 15.9205
+- Rougel: 34.8099
+- Rougelsum: 45.9442
+- Bertscore Precision: 81.8626
+- Bertscore Recall: 83.3072
+- Bertscore F1: 82.5744
+- Bleu: 0.1065
+- Gen Len: 196.3779
+
+## 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  |
+|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------------------:|:----------------:|:------------:|:------:|:--------:|
+| 6.4881        | 0.0620 | 100  | 6.2790          | 38.9402 | 10.9737 | 28.0473 | 36.4124   | 78.6712             | 80.7927          | 79.7123      | 0.0702 | 196.3779 |
+| 5.9838        | 0.1239 | 200  | 5.8574          | 39.6094 | 11.61   | 28.6653 | 36.6426   | 78.5563             | 81.2374          | 79.8672      | 0.0773 | 196.3779 |
+| 5.5757        | 0.1859 | 300  | 5.5425          | 43.235  | 12.5595 | 30.3069 | 40.1431   | 79.7016             | 81.7103          | 80.6878      | 0.0826 | 196.3779 |
+| 5.4752        | 0.2478 | 400  | 5.3518          | 45.0647 | 13.1878 | 31.0925 | 41.4826   | 79.7122             | 82.0455          | 80.8554      | 0.0880 | 196.3779 |
+| 5.3711        | 0.3098 | 500  | 5.2193          | 47.1793 | 13.5223 | 31.7989 | 43.5774   | 80.6424             | 82.3476          | 81.4813      | 0.0892 | 196.3779 |
+| 5.1653        | 0.3717 | 600  | 5.0858          | 45.2081 | 13.4909 | 31.8919 | 41.7813   | 80.7104             | 82.4561          | 81.5689      | 0.0897 | 196.3779 |
+| 5.0684        | 0.4337 | 700  | 4.9837          | 46.4035 | 14.2034 | 32.654  | 42.8883   | 80.4628             | 82.4529          | 81.4399      | 0.0941 | 196.3779 |
+| 4.9625        | 0.4957 | 800  | 4.9084          | 48.2088 | 14.8904 | 33.2025 | 44.5397   | 81.1668             | 82.8469          | 81.9935      | 0.0986 | 196.3779 |
+| 4.8858        | 0.5576 | 900  | 4.8370          | 48.5919 | 14.7721 | 33.5041 | 44.7923   | 81.2656             | 82.8635          | 82.0522      | 0.0974 | 196.3779 |
+| 4.8251        | 0.6196 | 1000 | 4.7813          | 49.2512 | 15.4584 | 34.0164 | 45.5215   | 81.4958             | 83.0067          | 82.2398      | 0.1030 | 196.3779 |
+| 4.8581        | 0.6815 | 1100 | 4.7307          | 48.7203 | 15.379  | 34.0451 | 45.0395   | 81.7154             | 83.106           | 82.4008      | 0.1027 | 196.3779 |
+| 4.7934        | 0.7435 | 1200 | 4.6861          | 49.5987 | 15.6207 | 34.3261 | 45.8512   | 81.7656             | 83.1546          | 82.4502      | 0.1042 | 196.3779 |
+| 4.7163        | 0.8055 | 1300 | 4.6518          | 48.9818 | 15.5333 | 34.3788 | 45.3444   | 81.6763             | 83.1451          | 82.3998      | 0.1039 | 196.3779 |
+| 4.6855        | 0.8674 | 1400 | 4.6199          | 49.1462 | 15.5914 | 34.5149 | 45.5788   | 81.7027             | 83.1199          | 82.401       | 0.1037 | 196.3779 |
+| 4.615         | 0.9294 | 1500 | 4.5987          | 49.6903 | 15.8973 | 34.7628 | 45.9111   | 81.8545             | 83.302           | 82.5678      | 0.1064 | 196.3779 |
+| 4.5964        | 0.9913 | 1600 | 4.5862          | 49.7214 | 15.9205 | 34.8099 | 45.9442   | 81.8626             | 83.3072          | 82.5744      | 0.1065 | 196.3779 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,70 @@
+{
+  "_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 sha256:73e3f0ead0db1bee980c4e40884bfff49a6ce84a111373dbcedaf30670b2ebf7
+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 sha256:85bb2898b85f138ac5134134a437ce8ef5daf74c7148dbe50effe1aeb259670c
+size 5112