End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Trelis/SmolLM-135M-Instruct-layer-pruned-90M-raw
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: 99-v9
+  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. -->
+
+# 99-v9
+
+This model is a fine-tuned version of [Trelis/SmolLM-135M-Instruct-layer-pruned-90M-raw](https://huggingface.co/Trelis/SmolLM-135M-Instruct-layer-pruned-90M-raw) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7495
+
+## 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: 0.002
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 256
+- total_eval_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.005
+- lr_scheduler_warmup_steps: 89
+- training_steps: 17894
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 0.6331        | 0.0500 | 894   | 0.6004          |
+| 0.5667        | 0.0999 | 1788  | 0.5463          |
+| 0.5423        | 0.1499 | 2682  | 0.5138          |
+| 0.5749        | 0.1998 | 3576  | 0.7377          |
+| 0.5378        | 0.2498 | 4470  | 0.7542          |
+| 0.506         | 0.2998 | 5364  | 0.7902          |
+| 0.5561        | 0.3497 | 6258  | 0.7810          |
+| 0.5259        | 0.3997 | 7152  | 0.7914          |
+| 0.5516        | 0.4496 | 8046  | 0.7611          |
+| 0.5131        | 0.4996 | 8940  | 0.6860          |
+| 0.5069        | 0.5496 | 9834  | 0.7247          |
+| 0.4977        | 0.5995 | 10728 | 0.7375          |
+| 0.4976        | 0.6495 | 11622 | 0.7436          |
+| 0.5018        | 0.6995 | 12516 | 0.7520          |
+| 0.537         | 0.7494 | 13410 | 0.7613          |
+| 0.5018        | 0.7994 | 14304 | 0.6922          |
+| 0.4891        | 0.8493 | 15198 | 0.7322          |
+| 0.4808        | 0.8993 | 16092 | 0.7430          |
+| 0.5231        | 0.9493 | 16986 | 0.7546          |
+| 0.5103        | 0.9992 | 17880 | 0.7495          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.1.1+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "Trelis/SmolLM-135M-Instruct-layer-pruned-90M-raw",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 576,
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "max_position_embeddings": 2048,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 9,
+  "num_hidden_layers": 20,
+  "num_key_value_heads": 3,
+  "pad_token_id": 2,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.2",
+  "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,
+  "max_new_tokens": 40,
+  "pad_token_id": 2,
+  "transformers_version": "4.44.2"
+}

model.safetensors

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special_tokens_map.json

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+    "single_word": false
+  }
+}

tokenizer_config.json

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+}

training_args.bin

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