End of training
Browse files- README.md +5 -5
- all_results.json +19 -0
- egy_training_log.txt +2 -0
- eval_results.json +13 -0
- train_results.json +9 -0
- train_vs_val_loss.png +0 -0
- trainer_state.json +379 -0
README.md
CHANGED
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@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [riotu-lab/ArabianGPT-01B](https://huggingface.co/riotu-lab/ArabianGPT-01B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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-
- Loss: 1.
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- Bleu: 0.
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- Rouge1: 0.
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- Rouge2: 0.
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- Rougel: 0.
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## Model description
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This model is a fine-tuned version of [riotu-lab/ArabianGPT-01B](https://huggingface.co/riotu-lab/ArabianGPT-01B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 1.9793
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| 22 |
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- Bleu: 0.3130
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- Rouge1: 0.5832
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- Rouge2: 0.3461
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- Rougel: 0.5454
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## Model description
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all_results.json
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{
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"epoch": 18.0,
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"eval_bleu": 0.31303204778954513,
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"eval_loss": 1.9793106317520142,
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| 5 |
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"eval_rouge1": 0.5832240471437244,
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| 6 |
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"eval_rouge2": 0.34612838297153165,
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| 7 |
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"eval_rougeL": 0.545438606875621,
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"eval_runtime": 29.6378,
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| 9 |
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"eval_samples": 925,
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"eval_samples_per_second": 31.21,
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"eval_steps_per_second": 3.914,
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"perplexity": 7.237751788702562,
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"total_flos": 2.5969031184384e+16,
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"train_loss": 1.6592627337077177,
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"train_runtime": 3469.9556,
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"train_samples": 3681,
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"train_samples_per_second": 21.216,
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"train_steps_per_second": 2.657
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}
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egy_training_log.txt
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@@ -319,3 +319,5 @@ INFO:root:Epoch 17.0: Train Loss = 1.4361, Eval Loss = 1.9800282716751099
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INFO:absl:Using default tokenizer.
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INFO:root:Epoch 18.0: Train Loss = 1.4159, Eval Loss = 1.979936957359314
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INFO:absl:Using default tokenizer.
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INFO:absl:Using default tokenizer.
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INFO:root:Epoch 18.0: Train Loss = 1.4159, Eval Loss = 1.979936957359314
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INFO:absl:Using default tokenizer.
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INFO:__main__:*** Evaluate ***
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INFO:absl:Using default tokenizer.
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eval_results.json
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{
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"epoch": 18.0,
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"eval_bleu": 0.31303204778954513,
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"eval_loss": 1.9793106317520142,
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"eval_rouge1": 0.5832240471437244,
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"eval_rouge2": 0.34612838297153165,
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"eval_rougeL": 0.545438606875621,
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"eval_runtime": 29.6378,
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"eval_samples": 925,
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"eval_samples_per_second": 31.21,
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"eval_steps_per_second": 3.914,
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"perplexity": 7.237751788702562
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}
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train_results.json
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{
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"epoch": 18.0,
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"total_flos": 2.5969031184384e+16,
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"train_loss": 1.6592627337077177,
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"train_runtime": 3469.9556,
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"train_samples": 3681,
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"train_samples_per_second": 21.216,
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"train_steps_per_second": 2.657
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}
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train_vs_val_loss.png
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trainer_state.json
ADDED
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| 1 |
+
{
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| 2 |
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"best_metric": 1.9793106317520142,
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"best_model_checkpoint": "/home/iais_marenpielka/Bouthaina/results_fixed/checkpoint-6915",
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| 4 |
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"epoch": 18.0,
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| 5 |
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"eval_steps": 500,
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"global_step": 8298,
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"is_local_process_zero": true,
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"log_history": [
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"learning_rate": 5e-05,
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"loss": 3.9816,
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"step": 500
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},
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{
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"step": 500
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{
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