End of training

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+model-index:
+- name: eng_spa_seq2seq
+  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. -->
+
+# eng_spa_seq2seq
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0656
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Use 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_steps: 500
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.2281        | 0.032 | 500   | 0.2171          |
+| 0.194         | 0.064 | 1000  | 0.1832          |
+| 0.1684        | 0.096 | 1500  | 0.1612          |
+| 0.1583        | 0.128 | 2000  | 0.1476          |
+| 0.1451        | 0.16  | 2500  | 0.1344          |
+| 0.1371        | 0.192 | 3000  | 0.1238          |
+| 0.1286        | 0.224 | 3500  | 0.1164          |
+| 0.1231        | 0.256 | 4000  | 0.1099          |
+| 0.1191        | 0.288 | 4500  | 0.1048          |
+| 0.1119        | 0.32  | 5000  | 0.0997          |
+| 0.1072        | 0.352 | 5500  | 0.0956          |
+| 0.1073        | 0.384 | 6000  | 0.0917          |
+| 0.0961        | 0.416 | 6500  | 0.0887          |
+| 0.0983        | 0.448 | 7000  | 0.0865          |
+| 0.0942        | 0.48  | 7500  | 0.0834          |
+| 0.0921        | 0.512 | 8000  | 0.0814          |
+| 0.0901        | 0.544 | 8500  | 0.0792          |
+| 0.0853        | 0.576 | 9000  | 0.0771          |
+| 0.0846        | 0.608 | 9500  | 0.0761          |
+| 0.0823        | 0.64  | 10000 | 0.0739          |
+| 0.0823        | 0.672 | 10500 | 0.0727          |
+| 0.0824        | 0.704 | 11000 | 0.0717          |
+| 0.081         | 0.736 | 11500 | 0.0709          |
+| 0.079         | 0.768 | 12000 | 0.0695          |
+| 0.0777        | 0.8   | 12500 | 0.0686          |
+| 0.0759        | 0.832 | 13000 | 0.0676          |
+| 0.0769        | 0.864 | 13500 | 0.0672          |
+| 0.0781        | 0.896 | 14000 | 0.0666          |
+| 0.0747        | 0.928 | 14500 | 0.0662          |
+| 0.0757        | 0.96  | 15000 | 0.0658          |
+| 0.0783        | 0.992 | 15500 | 0.0656          |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu121
+- Tokenizers 0.20.3

config.json

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+{
+  "architectures": [
+    "EncoderDecoderModel"
+  ],
+  "bos_token_id": 2,
+  "decoder": {
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+    "_name_or_path": "",
+    "add_cross_attention": true,
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+    "attention_probs_dropout_prob": 0.1,
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+    "classifier_dropout": null,
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+    "eos_token_id": null,
+    "exponential_decay_length_penalty": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": null,
+    "hidden_act": "gelu",
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+    "hidden_size": 768,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
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+    "intermediate_size": 3072,
+    "is_decoder": true,
+    "is_encoder_decoder": false,
+    "label2id": {
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+    "layer_norm_eps": 1e-12,
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+    "max_position_embeddings": 512,
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+    "model_type": "bert",
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+    "num_attention_heads": 12,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_hidden_layers": 12,
+    "num_return_sequences": 1,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_scores": false,
+    "pad_token_id": 0,
+    "position_embedding_type": "absolute",
+    "prefix": null,
+    "problem_type": null,
+    "pruned_heads": {},
+    "remove_invalid_values": false,
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+    "return_dict": true,
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+    "task_specific_params": null,
+    "temperature": 1.0,
+    "tf_legacy_loss": false,
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+    "typical_p": 1.0,
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+    "use_cache": true,
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+  "decoder_start_token_id": 2,
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+    "_name_or_path": "",
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+    "attention_probs_dropout_prob": 0.1,
+    "bad_words_ids": null,
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+    "classifier_dropout": null,
+    "cross_attention_hidden_size": null,
+    "decoder_start_token_id": null,
+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "early_stopping": false,
+    "encoder_no_repeat_ngram_size": 0,
+    "eos_token_id": null,
+    "exponential_decay_length_penalty": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": null,
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.1,
+    "hidden_size": 768,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
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+    "intermediate_size": 3072,
+    "is_decoder": false,
+    "is_encoder_decoder": false,
+    "label2id": {
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+      "LABEL_1": 1
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+    "layer_norm_eps": 1e-12,
+    "length_penalty": 1.0,
+    "max_length": 20,
+    "max_position_embeddings": 512,
+    "min_length": 0,
+    "model_type": "bert",
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+    "num_attention_heads": 12,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_hidden_layers": 12,
+    "num_return_sequences": 1,
+    "output_attentions": false,
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+    "output_scores": false,
+    "pad_token_id": 0,
+    "position_embedding_type": "absolute",
+    "prefix": null,
+    "problem_type": null,
+    "pruned_heads": {},
+    "remove_invalid_values": false,
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+    "return_dict": true,
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+    "sep_token_id": null,
+    "suppress_tokens": null,
+    "task_specific_params": null,
+    "temperature": 1.0,
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+    "top_k": 50,
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+    "use_cache": true,
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+  "is_encoder_decoder": true,
+  "model_type": "encoder-decoder",
+  "pad_token_id": 1,
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.3"
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 3,
+  "pad_token_id": 1,
+  "transformers_version": "4.46.3"
+}

model.safetensors

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special_tokens_map.json

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+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+  "tokenizer_class": "PreTrainedTokenizerFast",
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+}

training_args.bin

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