End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: HuggingFaceTB/SmolLM2-135M
+tags:
+- smol-course
+- module_1
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: SmolLM2-FT
+  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. -->
+
+# SmolLM2-FT
+
+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: 1.0016
+
+## 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: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.0523        | 0.0885 | 50   | 1.1397          |
+| 1.096         | 0.1770 | 100  | 1.1030          |
+| 1.048         | 0.2655 | 150  | 1.0750          |
+| 1.0342        | 0.3540 | 200  | 1.0596          |
+| 1.0262        | 0.4425 | 250  | 1.0505          |
+| 1.0168        | 0.5310 | 300  | 1.0413          |
+| 0.989         | 0.6195 | 350  | 1.0342          |
+| 0.992         | 0.7080 | 400  | 1.0307          |
+| 1.0056        | 0.7965 | 450  | 1.0224          |
+| 1.0605        | 0.8850 | 500  | 1.0137          |
+| 0.9758        | 0.9735 | 550  | 1.0081          |
+| 0.7922        | 1.0619 | 600  | 1.0134          |
+| 0.8005        | 1.1504 | 650  | 1.0096          |
+| 0.7443        | 1.2389 | 700  | 1.0111          |
+| 0.8439        | 1.3274 | 750  | 1.0089          |
+| 0.8013        | 1.4159 | 800  | 1.0050          |
+| 0.7648        | 1.5044 | 850  | 1.0054          |
+| 0.8123        | 1.5929 | 900  | 1.0030          |
+| 0.8511        | 1.6814 | 950  | 1.0018          |
+| 0.7797        | 1.7699 | 1000 | 1.0016          |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.1+cu118
+- Datasets 3.0.2
+- Tokenizers 0.20.0

config.json

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+{
+  "_name_or_path": "HuggingFaceTB/SmolLM2-135M",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 576,
+  "initializer_range": 0.041666666666666664,
+  "intermediate_size": 1536,
+  "is_llama_config": true,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 9,
+  "num_hidden_layers": 30,
+  "num_key_value_heads": 3,
+  "pad_token_id": 2,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_interleaved": false,
+  "rope_scaling": null,
+  "rope_theta": 100000,
+  "tie_word_embeddings": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.1",
+  "use_cache": true,
+  "vocab_size": 49152
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 2,
+  "transformers_version": "4.45.1"
+}

model.safetensors

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special_tokens_map.json

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+}

tokenizer_config.json

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