tcc-football-events-finetune-facebook_opt-125m-5-5k

README.md

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+---
+library_name: transformers
+license: other
+base_model: facebook/opt-125m
+tags:
+- generated_from_trainer
+model-index:
+- name: tcc-football-events-finetune-facebook_opt-125m-5-5k
+  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. -->
+
+# tcc-football-events-finetune-facebook_opt-125m-5-5k
+
+This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3287
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- 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
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.3341        | 1.0   | 2000  | 0.3247          |
+| 0.293         | 2.0   | 4000  | 0.3065          |
+| 0.2853        | 3.0   | 6000  | 0.2920          |
+| 0.2692        | 4.0   | 8000  | 0.2894          |
+| 0.2476        | 5.0   | 10000 | 0.2886          |
+| 0.2438        | 6.0   | 12000 | 0.2913          |
+| 0.2231        | 7.0   | 14000 | 0.2975          |
+| 0.1971        | 8.0   | 16000 | 0.3115          |
+| 0.1782        | 9.0   | 18000 | 0.3218          |
+| 0.157         | 10.0  | 20000 | 0.3287          |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

config.json

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+{
+  "_name_or_path": "facebook/opt-125m",
+  "_remove_final_layer_norm": false,
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "OPTForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "do_layer_norm_before": true,
+  "dropout": 0.1,
+  "enable_bias": true,
+  "eos_token_id": 2,
+  "ffn_dim": 3072,
+  "hidden_size": 768,
+  "init_std": 0.02,
+  "layer_norm_elementwise_affine": true,
+  "layerdrop": 0.0,
+  "max_position_embeddings": 2048,
+  "model_type": "opt",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "prefix": "</s>",
+  "torch_dtype": "float32",
+  "transformers_version": "4.47.1",
+  "use_cache": true,
+  "vocab_size": 50272,
+  "word_embed_proj_dim": 768
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.47.1"
+}

model.safetensors

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+oid sha256:af0720b47785c9cb35acaab87509ce1472ce3f0c26d0f204388124f132b9b391
+size 500979600

runs/Feb05_14-48-55_a5c821367404/events.out.tfevents.1738766936.a5c821367404.1895.6

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+oid sha256:360613f489cf21903d391c886662c24a772a07dadf191f9497ffdf015bfdc7ee
+size 93024

training_args.bin

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+size 5432