Model save

README.md

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+---
+license: apache-2.0
+base_model: facebook/bart-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: billsum_2052_bart-base
+  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. -->
+
+# billsum_2052_bart-base
+
+This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4857
+- Rouge1: 0.151
+- Rouge2: 0.0596
+- Rougel: 0.123
+- Rougelsum: 0.1301
+- Gen Len: 20.0
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.69  | 500  | 2.4571          | 0.1623 | 0.0709 | 0.1353 | 0.1414    | 20.0    |
+| No log        | 3.38  | 1000 | 2.4533          | 0.1564 | 0.0638 | 0.1273 | 0.1345    | 20.0    |
+| No log        | 5.07  | 1500 | 2.4592          | 0.149  | 0.0586 | 0.1216 | 0.1287    | 20.0    |
+| 1.6068        | 6.75  | 2000 | 2.4967          | 0.1487 | 0.0588 | 0.122  | 0.1286    | 20.0    |
+| 1.6068        | 8.44  | 2500 | 2.4857          | 0.151  | 0.0596 | 0.123  | 0.1301    | 20.0    |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.0.0+cu117
+- Datasets 2.18.0
+- Tokenizers 0.15.2

billsum_2052_bart-base/config.json

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+{
+  "_name_or_path": "facebook/bart-base",
+  "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": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "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,
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+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 50265
+}

billsum_2052_bart-base/generation_config.json

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+  "transformers_version": "4.38.2"
+}

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billsum_2052_bart-base/special_tokens_map.json

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billsum_2052_bart-base/tokenizer_config.json

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billsum_2052_bart-base/training_args.bin

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config.json

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+  "activation_dropout": 0.1,
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+  "add_bias_logits": false,
+  "add_final_layer_norm": false,
+  "architectures": [
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+  "classif_dropout": 0.1,
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+  "vocab_size": 50265
+}

generation_config.json

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special_tokens_map.json

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tokenizer_config.json

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wiki_asp-animal_2843_bart-base/config.json

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+  "_name_or_path": "facebook/bart-base",
+  "activation_dropout": 0.1,
+  "activation_function": "gelu",
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+  "add_final_layer_norm": false,
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+  "vocab_size": 50265
+}

wiki_asp-animal_2843_bart-base/generation_config.json

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wiki_asp-animal_2910_bart-base/config.json

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+  "vocab_size": 50265
+}

wiki_asp-animal_2910_bart-base/generation_config.json

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