End of training

README.md

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+---
+base_model: Patcas/plbart-works
+tags:
+- generated_from_trainer
+model-index:
+- name: work-with-plbart
+  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. -->
+
+# work-with-plbart
+
+This model is a fine-tuned version of [Patcas/plbart-works](https://huggingface.co/Patcas/plbart-works) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7953
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 17   | 0.8711          |
+| No log        | 2.0   | 34   | 0.8598          |
+| No log        | 3.0   | 51   | 0.8400          |
+| No log        | 4.0   | 68   | 0.8216          |
+| No log        | 5.0   | 85   | 0.8102          |
+| No log        | 6.0   | 102  | 0.8053          |
+| No log        | 7.0   | 119  | 0.8000          |
+| No log        | 8.0   | 136  | 0.7954          |
+| No log        | 9.0   | 153  | 0.7954          |
+| No log        | 10.0  | 170  | 0.7953          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "Patcas/plbart-works",
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "architectures": [
+    "PLBartForConditionalGeneration"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 0,
+  "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": 1,
+  "dropout": 0.1,
+  "encoder_attention_heads": 12,
+  "encoder_ffn_dim": 3072,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "max_position_embeddings": 1024,
+  "model_type": "plbart",
+  "num_hidden_layers": 6,
+  "pad_token_id": 1,
+  "scale_embedding": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "use_cache": true,
+  "vocab_size": 50005
+}

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 1,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.35.2"
+}

model.safetensors

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runs/Dec16_10-50-29_4ca74bc23782/events.out.tfevents.1702723859.4ca74bc23782.327.0

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sentencepiece.bpe.model

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special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "__java__",
+    "__python__",
+    "__en_XX__"
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+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
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+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
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+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "language_codes": "base",
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "sp_model_kwargs": {},
+  "src_lang": null,
+  "tgt_lang": null,
+  "tokenizer_class": "PLBartTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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