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: all_8657_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. -->
+
+# all_8657_bart-base
+
+This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2356
+- Rouge1: 0.2722
+- Rouge2: 0.1239
+- Rougel: 0.2315
+- Rougelsum: 0.2424
+- Gen Len: 19.9567
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.759         | 0.89  | 500  | 1.2348          | 0.2615 | 0.1071 | 0.2187 | 0.2283    | 19.956  |
+| 1.0891        | 1.78  | 1000 | 1.2122          | 0.2667 | 0.1145 | 0.224  | 0.2351    | 19.9713 |
+| 0.9877        | 2.67  | 1500 | 1.2076          | 0.2701 | 0.118  | 0.2271 | 0.238     | 19.9413 |
+| 0.9299        | 3.56  | 2000 | 1.2072          | 0.2682 | 0.1205 | 0.2267 | 0.2385    | 19.9667 |
+| 0.8841        | 4.44  | 2500 | 1.2088          | 0.2711 | 0.1213 | 0.2294 | 0.2406    | 19.956  |
+| 0.8425        | 5.33  | 3000 | 1.2154          | 0.2718 | 0.1245 | 0.2317 | 0.2426    | 19.9673 |
+| 0.8123        | 6.22  | 3500 | 1.2276          | 0.2719 | 0.1242 | 0.2315 | 0.2422    | 19.958  |
+| 0.7876        | 7.11  | 4000 | 1.2259          | 0.2726 | 0.1228 | 0.2311 | 0.242     | 19.9647 |
+| 0.769         | 8.0   | 4500 | 1.2244          | 0.2733 | 0.126  | 0.2324 | 0.2436    | 19.9667 |
+| 0.75          | 8.89  | 5000 | 1.2313          | 0.2723 | 0.1236 | 0.231  | 0.2422    | 19.964  |
+| 0.7369        | 9.78  | 5500 | 1.2356          | 0.2722 | 0.1239 | 0.2315 | 0.2424    | 19.9567 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.0.0+cu117
+- Datasets 2.18.0
+- Tokenizers 0.15.2

all_8657_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"
+  },
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+    "LABEL_2": 2
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+  "model_type": "bart",
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+  "normalize_before": false,
+  "normalize_embedding": true,
+  "num_beams": 4,
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+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 50265
+}

all_8657_bart-base/generation_config.json

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all_8657_bart-base/tokenizer_config.json

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all_9843_bart-base/config.json

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all_9843_bart-base/generation_config.json

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billsum_7999_bart-base/config.json

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+}

billsum_7999_bart-base/generation_config.json

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