Training in progress, step 5000

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: HuggingFaceTB/SmolLM2-135M
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+- precision
+- recall
+model-index:
+- name: bias-scorer-smollm2-135m
+  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. -->
+
+# bias-scorer-smollm2-135m
+
+This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4030
+- F1: 0.8236
+- Accuracy: 0.8297
+- Precision: 0.8205
+- Recall: 0.8297
+
+## 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: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- 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: cosine
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | F1     | Accuracy | Precision | Recall |
+|:-------------:|:------:|:-----:|:---------------:|:------:|:--------:|:---------:|:------:|
+| No log        | 0      | 0     | 0.6116          | 0.7504 | 0.7313   | 0.7927    | 0.7313 |
+| 0.4266        | 0.5044 | 10000 | 0.4032          | 0.8235 | 0.8297   | 0.8204    | 0.8297 |
+| 0.3763        | 1.0088 | 20000 | 0.4030          | 0.8236 | 0.8297   | 0.8205    | 0.8297 |
+| 0.3956        | 1.5132 | 30000 | 0.4030          | 0.8236 | 0.8297   | 0.8205    | 0.8297 |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3

config.json

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+{
+  "_name_or_path": "HuggingFaceTB/SmolLM2-360M",
+  "architectures": [
+    "LlamaForSequenceClassification"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 960,
+  "id2label": {
+    "0": "Race/Origin",
+    "1": "Gender/Sex",
+    "2": "Religion",
+    "3": "Ability",
+    "4": "Violence"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 2560,
+  "is_llama_config": true,
+  "label2id": {
+    "Ability": 3,
+    "Gender/Sex": 1,
+    "Race/Origin": 0,
+    "Religion": 2,
+    "Violence": 4
+  },
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 15,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 5,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "problem_type": "multi_label_classification",
+  "rms_norm_eps": 1e-05,
+  "rope_interleaved": false,
+  "rope_scaling": null,
+  "rope_theta": 100000,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.3",
+  "use_cache": true,
+  "vocab_size": 49152
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.46.3"
+}

model.safetensors

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special_tokens_map.json

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tokenizer_config.json

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+}

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