abdeljalilELmajjodi/Motarjem-v0.1

README.md

@@ -0,0 +1,81 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: Helsinki-NLP/opus-mt-en-ar
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: Motarjem-v0.1
+  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. -->
+
+# Motarjem-v0.1
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-en-ar) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1540
+- Bleu: 29.991
+- Gen Len: 11.75
+
+## 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: 0.001
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:------:|:-----:|:---------------:|:-------:|:-------:|
+| 3.7908        | 0.5857 | 1000  | 3.7377          | 6.18    | 16.2781 |
+| 3.5926        | 1.1716 | 2000  | 3.3270          | 8.0493  | 16.4099 |
+| 3.2234        | 1.7572 | 3000  | 3.0900          | 9.7393  | 15.2034 |
+| 2.9178        | 2.3432 | 4000  | 2.8567          | 9.8133  | 17.6295 |
+| 2.7302        | 2.9288 | 5000  | 2.6926          | 15.7344 | 12.8374 |
+| 2.4324        | 3.5148 | 6000  | 2.5841          | 16.7132 | 12.9787 |
+| 2.3135        | 4.1007 | 7000  | 2.4542          | 17.5718 | 13.288  |
+| 2.0808        | 4.6864 | 8000  | 2.3554          | 18.0186 | 13.6381 |
+| 1.9353        | 5.2723 | 9000  | 2.3031          | 20.0612 | 12.8465 |
+| 1.8244        | 5.8580 | 10000 | 2.1954          | 19.1501 | 14.0303 |
+| 1.6091        | 6.4439 | 11000 | 2.2027          | 23.3063 | 12.3297 |
+| 1.5548        | 7.0299 | 12000 | 2.1910          | 23.6853 | 12.4534 |
+| 1.325         | 7.6155 | 13000 | 2.1362          | 27.8799 | 11.4823 |
+| 1.2595        | 8.2015 | 14000 | 2.1696          | 25.782  | 12.1096 |
+| 1.1253        | 8.7871 | 15000 | 2.1173          | 27.8543 | 11.8945 |
+| 0.9858        | 9.3731 | 16000 | 2.1696          | 29.3317 | 11.7985 |
+| 0.938         | 9.9587 | 17000 | 2.1540          | 29.991  | 11.75   |
+
+
+### Framework versions
+
+- Transformers 4.48.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

config.json

@@ -0,0 +1,56 @@
+{
+  "_name_or_path": "Helsinki-NLP/opus-mt-en-ar",
+  "activation_dropout": 0.0,
+  "activation_function": "swish",
+  "add_bias_logits": false,
+  "add_final_layer_norm": false,
+  "architectures": [
+    "MarianMTModel"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "classif_dropout": 0.0,
+  "classifier_dropout": 0.0,
+  "d_model": 512,
+  "decoder_attention_heads": 8,
+  "decoder_ffn_dim": 2048,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "decoder_start_token_id": 62801,
+  "decoder_vocab_size": 69699,
+  "dropout": 0.1,
+  "encoder_attention_heads": 8,
+  "encoder_ffn_dim": 2048,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 0,
+  "extra_pos_embeddings": 62802,
+  "forced_eos_token_id": 0,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "max_length": null,
+  "max_position_embeddings": 512,
+  "model_type": "marian",
+  "normalize_before": false,
+  "normalize_embedding": false,
+  "num_beams": null,
+  "num_hidden_layers": 6,
+  "pad_token_id": 62801,
+  "scale_embedding": true,
+  "share_encoder_decoder_embeddings": true,
+  "static_position_embeddings": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.48.0",
+  "use_cache": true,
+  "vocab_size": 69699
+}

generation_config.json

@@ -0,0 +1,16 @@
+{
+  "bad_words_ids": [
+    [
+      62801
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 62801,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 62801,
+  "renormalize_logits": true,
+  "transformers_version": "4.48.0"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9908d60f578edb4d73cda3b393fcb437a5aaba6c26ed06342ac3a2d639808e5d
+size 462349364

special_tokens_map.json

@@ -0,0 +1,5 @@
+{
+  "eos_token": "</s>",
+  "pad_token": "<pad>",
+  "unk_token": "<unk>"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:db5b27840a3a07fa8e18ff99bdf6bbcce8eef39b63d33620d8ab3c3ebac9262a
+size 5432