End of training

README.md

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+---
+base_model: beogradjanka/bart_multitask_finetuned_for_title_and_keyphrase_generation
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: finetuned_bart_for_titlekeygen_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_for_titlekeygen_custom
+
+This model is a fine-tuned version of [beogradjanka/bart_multitask_finetuned_for_title_and_keyphrase_generation](https://huggingface.co/beogradjanka/bart_multitask_finetuned_for_title_and_keyphrase_generation) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.9518
+- Rouge1: 27.1931
+- Rouge2: 17.9025
+- Rougel: 27.0914
+- Rougelsum: 27.5983
+- Gen Len: 10.4444
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- 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        | 0.91  | 5    | 4.4910          | 24.613  | 15.7516 | 23.7302 | 24.6083   | 11.0    |
+| No log        | 2.0   | 11   | 4.5644          | 23.1235 | 14.2857 | 22.4578 | 23.0522   | 9.0     |
+| No log        | 2.91  | 16   | 4.6286          | 24.7078 | 15.2652 | 24.7869 | 25.2108   | 10.0556 |
+| No log        | 4.0   | 22   | 4.6774          | 24.5206 | 17.2336 | 24.3437 | 25.1579   | 10.5    |
+| No log        | 4.91  | 27   | 4.7187          | 26.304  | 18.2158 | 26.3307 | 26.814    | 10.2778 |
+| No log        | 6.0   | 33   | 4.7962          | 26.7873 | 17.4056 | 26.8439 | 27.3369   | 10.1667 |
+| No log        | 6.91  | 38   | 4.8356          | 26.9721 | 17.3677 | 26.9926 | 27.5469   | 10.0556 |
+| No log        | 8.0   | 44   | 4.7903          | 28.0369 | 17.3677 | 28.1825 | 28.5073   | 10.0    |
+| No log        | 8.91  | 49   | 4.7801          | 27.1885 | 17.6215 | 26.6686 | 27.0771   | 10.1111 |
+| No log        | 10.0  | 55   | 4.8049          | 27.1885 | 17.6215 | 26.6686 | 27.0771   | 10.1667 |
+| No log        | 10.91 | 60   | 4.9275          | 26.8226 | 17.9025 | 26.8217 | 27.2015   | 10.0    |
+| No log        | 12.0  | 66   | 4.9744          | 26.8226 | 17.9025 | 26.8217 | 27.2015   | 10.1111 |
+| No log        | 12.91 | 71   | 4.9863          | 26.0231 | 17.9025 | 26.0376 | 26.3104   | 10.0    |
+| No log        | 14.0  | 77   | 4.9497          | 24.9154 | 17.2851 | 25.0693 | 25.3933   | 9.8333  |
+| No log        | 14.91 | 82   | 4.9272          | 24.5615 | 17.037  | 24.4986 | 25.0688   | 10.0556 |
+| No log        | 16.0  | 88   | 4.9417          | 25.307  | 17.037  | 25.3656 | 25.9459   | 10.0    |
+| No log        | 16.91 | 93   | 4.9712          | 26.7457 | 17.9025 | 26.7271 | 27.1185   | 9.9444  |
+| No log        | 18.0  | 99   | 4.9649          | 25.9581 | 17.9025 | 25.9478 | 26.2429   | 10.0556 |
+| No log        | 18.91 | 104  | 4.9305          | 27.0746 | 17.9025 | 26.9536 | 27.4569   | 10.6111 |
+| No log        | 20.0  | 110  | 4.9212          | 27.9706 | 18.5997 | 27.2022 | 27.7873   | 10.8889 |
+| No log        | 20.91 | 115  | 4.9196          | 27.7549 | 18.8225 | 27.5716 | 28.1145   | 10.6667 |
+| No log        | 22.0  | 121  | 4.9316          | 27.1931 | 17.9025 | 27.0914 | 27.5983   | 10.4444 |
+| No log        | 22.91 | 126  | 4.9525          | 27.1931 | 17.9025 | 27.0914 | 27.5983   | 10.2222 |
+| No log        | 24.0  | 132  | 4.9590          | 27.1931 | 17.9025 | 27.0914 | 27.5983   | 10.2222 |
+| No log        | 24.91 | 137  | 4.9545          | 27.1931 | 17.9025 | 27.0914 | 27.5983   | 10.2222 |
+| No log        | 26.0  | 143  | 4.9514          | 27.1931 | 17.9025 | 27.0914 | 27.5983   | 10.4444 |
+| No log        | 26.91 | 148  | 4.9515          | 27.1931 | 17.9025 | 27.0914 | 27.5983   | 10.4444 |
+| No log        | 27.27 | 150  | 4.9518          | 27.1931 | 17.9025 | 27.0914 | 27.5983   | 10.4444 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.1

config.json

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+{
+  "_name_or_path": "beogradjanka/bart_multitask_finetuned_for_title_and_keyphrase_generation",
+  "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_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": {
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+    "LABEL_1": 1,
+    "LABEL_2": 2
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+  "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
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+      "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": "4.38.2",
+  "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_bos_token_id": 0,
+  "forced_eos_token_id": 2,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 1,
+  "transformers_version": "4.38.2"
+}

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special_tokens_map.json

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tokenizer_config.json

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+  "tokenizer_class": "BartTokenizer",
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+}

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