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_2490_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_2490_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: 1.0206
+- Rouge1: 0.2426
+- Rouge2: 0.1208
+- Rougel: 0.2025
+- Rougelsum: 0.2266
+- Gen Len: 19.9945
+
+## 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: 32
+- eval_batch_size: 20
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 512
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.7151        | 0.8   | 500  | 1.1257          | 0.2361 | 0.1122 | 0.1955 | 0.2196    | 19.9978 |
+| 1.0837        | 1.61  | 1000 | 1.0810          | 0.2401 | 0.1176 | 0.1997 | 0.2237    | 19.9953 |
+| 1.0348        | 2.41  | 1500 | 1.0651          | 0.2401 | 0.1179 | 0.1999 | 0.2239    | 19.9957 |
+| 1.0059        | 3.21  | 2000 | 1.0522          | 0.2402 | 0.1183 | 0.2001 | 0.2242    | 19.996  |
+| 0.9855        | 4.02  | 2500 | 1.0439          | 0.2416 | 0.1197 | 0.2014 | 0.2257    | 19.9948 |
+| 0.9642        | 4.82  | 3000 | 1.0361          | 0.2421 | 0.12   | 0.2019 | 0.2263    | 19.9936 |
+| 0.9519        | 5.63  | 3500 | 1.0329          | 0.2415 | 0.1199 | 0.2016 | 0.2258    | 19.9948 |
+| 0.9389        | 6.43  | 4000 | 1.0278          | 0.2424 | 0.1204 | 0.2022 | 0.2265    | 19.9942 |
+| 0.9302        | 7.23  | 4500 | 1.0273          | 0.2422 | 0.1204 | 0.2022 | 0.2264    | 19.9943 |
+| 0.9225        | 8.04  | 5000 | 1.0219          | 0.2421 | 0.1208 | 0.2023 | 0.2263    | 19.9946 |
+| 0.9152        | 8.84  | 5500 | 1.0219          | 0.2429 | 0.1208 | 0.2027 | 0.227     | 19.9948 |
+| 0.911         | 9.64  | 6000 | 1.0206          | 0.2426 | 0.1208 | 0.2025 | 0.2266    | 19.9945 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.0.0+cu117
+- Datasets 2.18.0
+- Tokenizers 0.15.2

all_2490_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": {
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+    "LABEL_1": 1,
+    "LABEL_2": 2
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+  "model_type": "bart",
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+  "normalize_embedding": true,
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+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 50265
+}

all_2490_bart-base/generation_config.json

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all_2490_bart-base/tokenizer_config.json

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all_6417_bart-base/config.json

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all_6417_bart-base/generation_config.json

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+  "vocab_size": 50265
+}

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