End of training
Browse files- README.md +9 -0
- all_results.json +15 -15
- egy_training_log.txt +2 -0
- eval_results.json +10 -10
- train_results.json +6 -6
- trainer_state.json +14 -33
README.md
CHANGED
|
@@ -3,6 +3,9 @@ license: apache-2.0
|
|
| 3 |
base_model: riotu-lab/ArabianGPT-01B
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
|
|
|
|
|
|
|
|
|
| 6 |
model-index:
|
| 7 |
- name: test-egy_aragpt
|
| 8 |
results: []
|
|
@@ -14,6 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 14 |
# test-egy_aragpt
|
| 15 |
|
| 16 |
This model is a fine-tuned version of [riotu-lab/ArabianGPT-01B](https://huggingface.co/riotu-lab/ArabianGPT-01B) on an unknown dataset.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 17 |
|
| 18 |
## Model description
|
| 19 |
|
|
|
|
| 3 |
base_model: riotu-lab/ArabianGPT-01B
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- bleu
|
| 8 |
+
- rouge
|
| 9 |
model-index:
|
| 10 |
- name: test-egy_aragpt
|
| 11 |
results: []
|
|
|
|
| 17 |
# test-egy_aragpt
|
| 18 |
|
| 19 |
This model is a fine-tuned version of [riotu-lab/ArabianGPT-01B](https://huggingface.co/riotu-lab/ArabianGPT-01B) on an unknown dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 3.4630
|
| 22 |
+
- Bleu: 0.0984
|
| 23 |
+
- Rouge1: 0.3093
|
| 24 |
+
- Rouge2: 0.0718
|
| 25 |
+
- Rougel: 0.2296
|
| 26 |
|
| 27 |
## Model description
|
| 28 |
|
all_results.json
CHANGED
|
@@ -1,19 +1,19 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"eval_bleu": 0.
|
| 4 |
-
"eval_loss": 3.
|
| 5 |
-
"eval_rouge1": 0.
|
| 6 |
-
"eval_rouge2": 0.
|
| 7 |
-
"eval_rougeL": 0.
|
| 8 |
-
"eval_runtime": 26.
|
| 9 |
"eval_samples": 847,
|
| 10 |
-
"eval_samples_per_second":
|
| 11 |
-
"eval_steps_per_second":
|
| 12 |
-
"perplexity":
|
| 13 |
-
"total_flos":
|
| 14 |
-
"train_loss": 4.
|
| 15 |
-
"train_runtime":
|
| 16 |
"train_samples": 2552,
|
| 17 |
-
"train_samples_per_second":
|
| 18 |
-
"train_steps_per_second": 2.
|
| 19 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"eval_bleu": 0.09842217214841122,
|
| 4 |
+
"eval_loss": 3.4630110263824463,
|
| 5 |
+
"eval_rouge1": 0.3093411104418377,
|
| 6 |
+
"eval_rouge2": 0.07177511381538038,
|
| 7 |
+
"eval_rougeL": 0.22957881226204224,
|
| 8 |
+
"eval_runtime": 26.8225,
|
| 9 |
"eval_samples": 847,
|
| 10 |
+
"eval_samples_per_second": 31.578,
|
| 11 |
+
"eval_steps_per_second": 3.952,
|
| 12 |
+
"perplexity": 31.912922646039927,
|
| 13 |
+
"total_flos": 1000225898496000.0,
|
| 14 |
+
"train_loss": 4.835940561324452,
|
| 15 |
+
"train_runtime": 118.408,
|
| 16 |
"train_samples": 2552,
|
| 17 |
+
"train_samples_per_second": 21.553,
|
| 18 |
+
"train_steps_per_second": 2.694
|
| 19 |
}
|
egy_training_log.txt
CHANGED
|
@@ -141,3 +141,5 @@ INFO:datasets.arrow_dataset:Loading cached processed dataset at /home/iais_maren
|
|
| 141 |
INFO:datasets.arrow_dataset:Loading cached processed dataset at /home/iais_marenpielka/.cache/huggingface/datasets/text/default-0637777c38512acf/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101/cache-4ddbb6e08bb37d3f.arrow
|
| 142 |
WARNING:accelerate.utils.other:Detected kernel version 5.4.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
|
| 143 |
WARNING:root:Epoch 1.0: No losses recorded yet.
|
|
|
|
|
|
|
|
|
| 141 |
INFO:datasets.arrow_dataset:Loading cached processed dataset at /home/iais_marenpielka/.cache/huggingface/datasets/text/default-0637777c38512acf/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101/cache-4ddbb6e08bb37d3f.arrow
|
| 142 |
WARNING:accelerate.utils.other:Detected kernel version 5.4.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
|
| 143 |
WARNING:root:Epoch 1.0: No losses recorded yet.
|
| 144 |
+
INFO:__main__:*** Evaluate ***
|
| 145 |
+
INFO:absl:Using default tokenizer.
|
eval_results.json
CHANGED
|
@@ -1,13 +1,13 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"eval_bleu": 0.
|
| 4 |
-
"eval_loss": 3.
|
| 5 |
-
"eval_rouge1": 0.
|
| 6 |
-
"eval_rouge2": 0.
|
| 7 |
-
"eval_rougeL": 0.
|
| 8 |
-
"eval_runtime": 26.
|
| 9 |
"eval_samples": 847,
|
| 10 |
-
"eval_samples_per_second":
|
| 11 |
-
"eval_steps_per_second":
|
| 12 |
-
"perplexity":
|
| 13 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"eval_bleu": 0.09842217214841122,
|
| 4 |
+
"eval_loss": 3.4630110263824463,
|
| 5 |
+
"eval_rouge1": 0.3093411104418377,
|
| 6 |
+
"eval_rouge2": 0.07177511381538038,
|
| 7 |
+
"eval_rougeL": 0.22957881226204224,
|
| 8 |
+
"eval_runtime": 26.8225,
|
| 9 |
"eval_samples": 847,
|
| 10 |
+
"eval_samples_per_second": 31.578,
|
| 11 |
+
"eval_steps_per_second": 3.952,
|
| 12 |
+
"perplexity": 31.912922646039927
|
| 13 |
}
|
train_results.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"total_flos":
|
| 4 |
-
"train_loss": 4.
|
| 5 |
-
"train_runtime":
|
| 6 |
"train_samples": 2552,
|
| 7 |
-
"train_samples_per_second":
|
| 8 |
-
"train_steps_per_second": 2.
|
| 9 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"total_flos": 1000225898496000.0,
|
| 4 |
+
"train_loss": 4.835940561324452,
|
| 5 |
+
"train_runtime": 118.408,
|
| 6 |
"train_samples": 2552,
|
| 7 |
+
"train_samples_per_second": 21.553,
|
| 8 |
+
"train_steps_per_second": 2.694
|
| 9 |
}
|
trainer_state.json
CHANGED
|
@@ -1,46 +1,27 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric":
|
| 3 |
-
"best_model_checkpoint":
|
| 4 |
-
"epoch":
|
| 5 |
"eval_steps": 500,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
-
"epoch": 1.
|
| 13 |
-
"
|
| 14 |
-
"
|
| 15 |
-
"
|
| 16 |
-
"
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
"epoch": 1.567398119122257,
|
| 20 |
-
"eval_bleu": 0.11424038411303619,
|
| 21 |
-
"eval_loss": 3.128293514251709,
|
| 22 |
-
"eval_rouge1": 0.3297614987151056,
|
| 23 |
-
"eval_rouge2": 0.08429294540985294,
|
| 24 |
-
"eval_rougeL": 0.2561476738686219,
|
| 25 |
-
"eval_runtime": 26.7734,
|
| 26 |
-
"eval_samples_per_second": 31.636,
|
| 27 |
-
"eval_steps_per_second": 3.959,
|
| 28 |
-
"step": 500
|
| 29 |
-
},
|
| 30 |
-
{
|
| 31 |
-
"epoch": 2.0,
|
| 32 |
-
"step": 638,
|
| 33 |
-
"total_flos": 2000451796992000.0,
|
| 34 |
-
"train_loss": 4.049833530916316,
|
| 35 |
-
"train_runtime": 263.3387,
|
| 36 |
-
"train_samples_per_second": 19.382,
|
| 37 |
-
"train_steps_per_second": 2.423
|
| 38 |
}
|
| 39 |
],
|
| 40 |
"logging_steps": 500,
|
| 41 |
-
"max_steps":
|
| 42 |
"num_input_tokens_seen": 0,
|
| 43 |
-
"num_train_epochs":
|
| 44 |
"save_steps": 500,
|
| 45 |
"stateful_callbacks": {
|
| 46 |
"EarlyStoppingCallback": {
|
|
@@ -63,7 +44,7 @@
|
|
| 63 |
"attributes": {}
|
| 64 |
}
|
| 65 |
},
|
| 66 |
-
"total_flos":
|
| 67 |
"train_batch_size": 8,
|
| 68 |
"trial_name": null,
|
| 69 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.0,
|
| 5 |
"eval_steps": 500,
|
| 6 |
+
"global_step": 319,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
+
"epoch": 1.0,
|
| 13 |
+
"step": 319,
|
| 14 |
+
"total_flos": 1000225898496000.0,
|
| 15 |
+
"train_loss": 4.835940561324452,
|
| 16 |
+
"train_runtime": 118.408,
|
| 17 |
+
"train_samples_per_second": 21.553,
|
| 18 |
+
"train_steps_per_second": 2.694
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 19 |
}
|
| 20 |
],
|
| 21 |
"logging_steps": 500,
|
| 22 |
+
"max_steps": 319,
|
| 23 |
"num_input_tokens_seen": 0,
|
| 24 |
+
"num_train_epochs": 1,
|
| 25 |
"save_steps": 500,
|
| 26 |
"stateful_callbacks": {
|
| 27 |
"EarlyStoppingCallback": {
|
|
|
|
| 44 |
"attributes": {}
|
| 45 |
}
|
| 46 |
},
|
| 47 |
+
"total_flos": 1000225898496000.0,
|
| 48 |
"train_batch_size": 8,
|
| 49 |
"trial_name": null,
|
| 50 |
"trial_params": null
|