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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+generated_predictions.txt filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,69 @@
----
-license: mit
----
+---
+library_name: transformers
+language:
+- en
+- zh
+base_model: opus-mt-en-zh
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: pretrain_en_zh_ai_challenger_output
+  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. -->
+
+# pretrain_en_zh_ai_challenger_output
+
+This model is a fine-tuned version of [opus-mt-en-zh](https://huggingface.co/opus-mt-en-zh) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9379
+- Bleu: 65.1489
+- Meteor: 0.1558
+- Gen Len: 12.4552
+
+## 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: 5e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 2024
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5.0
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Bleu    | Meteor | Gen Len |
+|:-------------:|:-----:|:------:|:---------------:|:-------:|:------:|:-------:|
+| 2.2886        | 1.0   | 156250 | 2.0967          | 65.1489 | 0.1576 | 12.8416 |
+| 2.1316        | 2.0   | 312500 | 2.0353          | 65.1489 | 0.1591 | 12.7059 |
+| 2.05          | 3.0   | 468750 | 1.9878          | 65.1489 | 0.1612 | 12.7766 |
+| 1.9868        | 4.0   | 625000 | 1.9567          | 65.1489 | 0.1619 | 12.7332 |
+| 1.9345        | 5.0   | 781250 | 1.9379          | 65.1489 | 0.1615 | 12.7575 |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

all_results.json

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+    "epoch": 5.0,
+    "eval_bleu": 65.1489,
+    "eval_gen_len": 12.4552,
+    "eval_loss": 1.9379221200942993,
+    "eval_meteor": 0.1558,
+    "eval_runtime": 101.9859,
+    "eval_samples": 8000,
+    "eval_samples_per_second": 78.442,
+    "eval_steps_per_second": 1.226,
+    "predict_bleu": 39.7635,
+    "predict_gen_len": 24.6967,
+    "predict_loss": 5.78886604309082,
+    "predict_meteor": 0.0813,
+    "predict_runtime": 4588.655,
+    "predict_samples": 227568,
+    "predict_samples_per_second": 49.594,
+    "predict_steps_per_second": 0.775,
+    "total_flos": 6.787036896905134e+17,
+    "train_loss": 2.07831184,
+    "train_runtime": 195294.7701,
+    "train_samples": 10000000,
+    "train_samples_per_second": 256.023,
+    "train_steps_per_second": 4.0
+}

config.json

@@ -0,0 +1,59 @@
+{
+  "_name_or_path": "opus-mt-en-zh",
+  "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": 65000,
+  "decoder_vocab_size": 65001,
+  "do_blenderbot_90_layernorm": false,
+  "dropout": 0.1,
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+  "extra_pos_embeddings": 0,
+  "force_bos_token_to_be_generated": false,
+  "forced_eos_token_id": 0,
+  "gradient_checkpointing": false,
+  "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,
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+  "num_hidden_layers": 6,
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+  "scale_embedding": true,
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+  "torch_dtype": "float32",
+  "transformers_version": "4.45.2",
+  "use_cache": true,
+  "vocab_size": 65001
+}

eval_results.json

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+    "eval_gen_len": 12.4552,
+    "eval_loss": 1.9379221200942993,
+    "eval_meteor": 0.1558,
+    "eval_runtime": 101.9859,
+    "eval_samples": 8000,
+    "eval_samples_per_second": 78.442,
+    "eval_steps_per_second": 1.226
+}

generated_predictions.txt

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generation_config.json

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model.safetensors

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predict_results.json

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+    "predict_bleu": 39.7635,
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+    "predict_loss": 5.78886604309082,
+    "predict_meteor": 0.0813,
+    "predict_runtime": 4588.655,
+    "predict_samples": 227568,
+    "predict_samples_per_second": 49.594,
+    "predict_steps_per_second": 0.775
+}

special_tokens_map.json

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+  "pad_token": "<pad>",
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+}

tokenizer_config.json

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+  "source_lang": "eng",
+  "sp_model_kwargs": {},
+  "target_lang": "zho",
+  "tokenizer_class": "MarianTokenizer",
+  "unk_token": "<unk>"
+}

train_results.json

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+}

trainer_state.json

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