End of training

README.md

@@ -1,25 +1,25 @@
 ---
 license: apache-2.0
-base_model: Helsinki-NLP/opus-mt-ar-en
+base_model: ihebaker10/spark-name-ar-to-en
 tags:
 - generated_from_trainer
 metrics:
 - bleu
 model-index:
-- name: spark-name-tr-ar-to-en
+- name: spark-name-ar-to-en
   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. -->
 
-# spark-name-tr-ar-to-en
+# spark-name-ar-to-en
 
-This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on the None dataset.
+This model is a fine-tuned version of [ihebaker10/spark-name-ar-to-en](https://huggingface.co/ihebaker10/spark-name-ar-to-en) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5912
-- Bleu: 43.6171
-- Gen Len: 6.4886
+- Loss: 1.4970
+- Bleu: 0.0
+- Gen Len: 4.134
 
 ## Model description
 
@@ -44,20 +44,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 5
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| 1.8819        | 1.0   | 2042 | 1.6897          | 40.5972 | 6.4854  |
-| 1.5272        | 2.0   | 4084 | 1.6132          | 41.1481 | 6.4977  |
-| 1.3899        | 3.0   | 6126 | 1.5912          | 43.6171 | 6.4886  |
+| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:----:|:-------:|
+| 1.65          | 1.0   | 1000 | 1.4867          | 0.0  | 4.1465  |
+| 1.3953        | 2.0   | 2000 | 1.4755          | 0.0  | 4.1295  |
+| 1.2245        | 3.0   | 3000 | 1.4903          | 0.0  | 4.1655  |
+| 1.1021        | 4.0   | 4000 | 1.4927          | 0.0  | 4.135   |
+| 1.0237        | 5.0   | 5000 | 1.4970          | 0.0  | 4.134   |
 
 
 ### Framework versions
 
-- Transformers 4.39.3
-- Pytorch 1.12.0
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- Transformers 4.40.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "Helsinki-NLP/opus-mt-ar-en",
+  "_name_or_path": "ihebaker10/spark-name-ar-to-en",
   "_num_labels": 3,
   "activation_dropout": 0.0,
   "activation_function": "swish",
@@ -55,7 +55,7 @@
   "share_encoder_decoder_embeddings": true,
   "static_position_embeddings": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.39.3",
+  "transformers_version": "4.40.0",
   "use_cache": true,
   "vocab_size": 62834
 }

generation_config.json

@@ -12,5 +12,5 @@
   "num_beams": 4,
   "pad_token_id": 62833,
   "renormalize_logits": true,
-  "transformers_version": "4.39.3"
+  "transformers_version": "4.40.0"
 }

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:39520a1a8f8f949f3cc9c5bd1b1c4617b00d7a89c10068e23d87fd5cc370a00f
 size 305518408

runs/Apr30_12-57-21_48a6826350b4/events.out.tfevents.1714481843.48a6826350b4.273.0

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+size 9920

special_tokens_map.json

@@ -1,5 +1,23 @@
 {
-  "eos_token": "</s>",
-  "pad_token": "<pad>",
-  "unk_token": "<unk>"
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
 }

training_args.bin

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-size 4655
+oid sha256:9224d4dab0478e2ca1d514b435d161294cdf653c08d944eb81c3776295877f5b
+size 5176