End of training

README.md

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+---
+base_model: napatswift/mt5-budget-seq-1
+tags:
+- generated_from_trainer
+model-index:
+- name: mt5-budget-seq2seq-2
+  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. -->
+
+# mt5-budget-seq2seq-2
+
+This model is a fine-tuned version of [napatswift/mt5-budget-seq-1](https://huggingface.co/napatswift/mt5-budget-seq-1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Cer: 0.5769
+- Loss: 0.0073
+
+## 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: 0.0006
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 90
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Cer    | Validation Loss |
+|:-------------:|:-----:|:----:|:------:|:---------------:|
+| 0.0215        | 0.34  | 400  | 0.5769 | 0.0073          |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.0

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.34.0"
+}

tokenizer.json

@@ -2,7 +2,7 @@
   "version": "1.0",
   "truncation": {
     "direction": "Right",
-    "max_length": 1600,
+    "max_length": 2000,
     "strategy": "LongestFirst",
     "stride": 0
   },

training_args.bin

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