End of training

README.md

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+---
+base_model: csebuetnlp/banglat5
+tags:
+- generated_from_trainer
+model-index:
+- name: bn_news_article_summarization
+  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. -->
+
+# bn_news_article_summarization
+
+This model is a fine-tuned version of [csebuetnlp/banglat5](https://huggingface.co/csebuetnlp/banglat5) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1868
+
+## 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: 0.001
+- train_batch_size: 20
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 160
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine_with_restarts
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 0.99  | 83   | 0.5499          |
+| No log        | 2.0   | 167  | 0.6308          |
+| 16.0025       | 2.99  | 250  | 0.4921          |
+| 16.0025       | 3.99  | 334  | 0.4755          |
+| 0.5191        | 5.0   | 418  | 0.4795          |
+| 0.5191        | 5.99  | 501  | 0.4719          |
+| 0.5191        | 7.0   | 585  | 0.4575          |
+| 0.4756        | 8.0   | 669  | 0.4345          |
+| 0.4756        | 8.99  | 752  | 0.3438          |
+| 0.4157        | 10.0  | 836  | 0.2664          |
+| 0.4157        | 10.99 | 919  | 0.2263          |
+| 0.2776        | 11.99 | 1003 | 0.2013          |
+| 0.2776        | 13.0  | 1087 | 0.1899          |
+| 0.2776        | 13.99 | 1170 | 0.1872          |
+| 0.2269        | 14.89 | 1245 | 0.1868          |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "csebuetnlp/banglat5",
+  "architectures": [
+    "MT5ForConditionalGeneration"
+  ],
+  "classifier_dropout": 0.0,
+  "d_ff": 2048,
+  "d_kv": 64,
+  "d_model": 768,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "gradient_checkpointing": false,
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "mt5",
+  "num_decoder_layers": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "T5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3",
+  "use_cache": true,
+  "vocab_size": 32128
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.39.3"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5bf5b7a20c7fe2c61cc08c75213919d19af32b7e64790dd65fcdbb7b80c4f71f
+size 990345064

training_args.bin

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+size 4856