Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: random_first_noditransitive_seed-63_1e-3
+  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. -->
+
+# random_first_noditransitive_seed-63_1e-3
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4683
+- Accuracy: 0.3757
+
+## 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: 64
+- seed: 63
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 256
+- 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_steps: 32000
+- num_epochs: 20.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss | Accuracy |
+|:-------------:|:-------:|:-----:|:---------------:|:--------:|
+| 6.1397        | 0.9998  | 1495  | 4.6645          | 0.2652   |
+| 4.6172        | 1.9997  | 2990  | 4.1987          | 0.3050   |
+| 4.0314        | 2.9995  | 4485  | 3.9518          | 0.3255   |
+| 3.8633        | 4.0     | 5981  | 3.7929          | 0.3399   |
+| 3.637         | 4.9998  | 7476  | 3.6933          | 0.3499   |
+| 3.561         | 5.9997  | 8971  | 3.6266          | 0.3569   |
+| 3.4427        | 6.9995  | 10466 | 3.5855          | 0.3608   |
+| 3.4054        | 8.0     | 11962 | 3.5528          | 0.3644   |
+| 3.3332        | 8.9998  | 13457 | 3.5351          | 0.3667   |
+| 3.3122        | 9.9997  | 14952 | 3.5174          | 0.3686   |
+| 3.2653        | 10.9995 | 16447 | 3.5048          | 0.3702   |
+| 3.2514        | 12.0    | 17943 | 3.5013          | 0.3711   |
+| 3.2181        | 12.9998 | 19438 | 3.4940          | 0.3720   |
+| 3.2097        | 13.9997 | 20933 | 3.4829          | 0.3734   |
+| 3.1862        | 14.9995 | 22428 | 3.4822          | 0.3737   |
+| 3.1818        | 16.0    | 23924 | 3.4781          | 0.3741   |
+| 3.1633        | 16.9998 | 25419 | 3.4738          | 0.3746   |
+| 3.1605        | 17.9997 | 26914 | 3.4749          | 0.3752   |
+| 3.1498        | 18.9995 | 28409 | 3.4698          | 0.3752   |
+| 3.1478        | 19.9967 | 29900 | 3.4683          | 0.3757   |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.20.0

added_tokens.json

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+{
+  "<|endoftext|>": 32768
+}

config.json

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+{
+  "_name_or_path": "models/random_first_noditransitive_seed-63_1e-3",
+  "_remove_final_layer_norm": false,
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "OPTForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "do_layer_norm_before": true,
+  "dropout": 0.1,
+  "enable_bias": true,
+  "eos_token_id": 1,
+  "ffn_dim": 3072,
+  "hidden_size": 768,
+  "init_std": 0.02,
+  "layer_norm_elementwise_affine": true,
+  "layerdrop": 0.0,
+  "max_position_embeddings": 256,
+  "model_type": "opt",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "prefix": "<s>",
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.2",
+  "use_cache": true,
+  "vocab_size": 32768,
+  "word_embed_proj_dim": 768
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.46.2"
+}

model.safetensors

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+size 441702288

special_tokens_map.json

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+{
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "pad_token": "<pad>",
+  "unk_token": "<|endoftext|>"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "2": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "32768": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "max_length": null,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_to_multiple_of": null,
+  "pad_token": "<pad>",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

training_args.bin

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+size 5368