End of training

README.md

@@ -1,4 +1,5 @@
 ---
+base_model: Samuael/geez_t5-15k
 tags:
 - generated_from_trainer
 model-index:
@@ -11,17 +12,17 @@ should probably proofread and complete it, then remove this comment. -->
 
 # geez_t5-15k
 
-This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+This model is a fine-tuned version of [Samuael/geez_t5-15k](https://huggingface.co/Samuael/geez_t5-15k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.3052
-- eval_wer: 0.0782
-- eval_cer: 0.0198
-- eval_bleu: 84.3344
-- eval_runtime: 61.9531
-- eval_samples_per_second: 13.074
-- eval_steps_per_second: 0.113
-- epoch: 10.0
-- step: 860
+- eval_loss: 0.8705
+- eval_wer: 0.2496
+- eval_cer: 0.0611
+- eval_bleu: 58.7703
+- eval_runtime: 36.6498
+- eval_samples_per_second: 9.795
+- eval_steps_per_second: 0.164
+- epoch: 1.0
+- step: 1421
 
 ## Model description
 
@@ -40,13 +41,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0005
-- train_batch_size: 128
-- eval_batch_size: 128
+- learning_rate: 0.0001
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 50
+- mixed_precision_training: Native AMP
 
 ### Framework versions
 

config.json

@@ -1,4 +1,5 @@
 {
+  "_name_or_path": "Samuael/geez_t5-15k",
   "architectures": [
     "T5ForConditionalGeneration"
   ],

model.safetensors

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runs/Mar21_22-40-47_dd8c1793ed55/events.out.tfevents.1711060910.dd8c1793ed55.713.0

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training_args.bin

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