End of training

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+model-index:
+- name: push_model_09_2024
+  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. -->
+
+# push_model_09_2024
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9830
+
+## 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: 3e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.7583 | 10   | 1.0167          |
+| No log        | 1.5166 | 20   | 1.0118          |
+| 1.1793        | 2.2749 | 30   | 1.0039          |
+| 1.1793        | 3.0332 | 40   | 0.9941          |
+| 1.1646        | 3.7915 | 50   | 0.9830          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "model_push_sbert",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "bos_token_id": 2,
+  "classifier_dropout": 0.0,
+  "d_ff": 2048,
+  "d_kv": 64,
+  "d_model": 768,
+  "decoder_start_token_id": 2,
+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "max_length": 100,
+  "model_type": "t5",
+  "num_beams": 5,
+  "num_decoder_layers": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "T5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "use_cache": true,
+  "vocab_size": 30000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 1,
+  "max_length": 100,
+  "num_beams": 5,
+  "pad_token_id": 0,
+  "transformers_version": "4.44.2"
+}

model.safetensors

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+oid sha256:ac2dde56ef5c1c160c750868fc2149a74728689976a3027b0b436dc6ca97cd36
+size 977270632

runs/Sep11_05-02-26_8a2db5666ead/events.out.tfevents.1726030948.8a2db5666ead.386.0

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+size 7243

training_args.bin

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+oid sha256:97dbb16dec7422a733a5947deb9069098e07d607d3dca717cb842f7c2eea9d05
+size 5176