archit11/qwen-finetuned-model

README.md

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+---
+library_name: transformers
+license: mit
+base_model: nisten/Biggie-SmoLlm-0.15B-Base
+tags:
+- generated_from_trainer
+model-index:
+- name: acha
+  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. -->
+
+# acha
+
+This model is a fine-tuned version of [nisten/Biggie-SmoLlm-0.15B-Base](https://huggingface.co/nisten/Biggie-SmoLlm-0.15B-Base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.8727
+
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 5
+- training_steps: 800
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 3.7094        | 0.0920 | 50   | 3.5122          |
+| 3.5464        | 0.1841 | 100  | 3.2981          |
+| 3.4292        | 0.2761 | 150  | 3.1894          |
+| 3.3576        | 0.3682 | 200  | 3.0917          |
+| 3.35          | 0.4602 | 250  | 3.0353          |
+| 3.3334        | 0.5522 | 300  | 2.9864          |
+| 3.3096        | 0.6443 | 350  | 2.9512          |
+| 3.2773        | 0.7363 | 400  | 2.9281          |
+| 3.2343        | 0.8283 | 450  | 2.9118          |
+| 3.2265        | 0.9204 | 500  | 2.9015          |
+| 3.0257        | 1.0124 | 550  | 2.8853          |
+| 2.9092        | 1.1045 | 600  | 2.8748          |
+| 2.9109        | 1.1965 | 650  | 2.8732          |
+| 2.9437        | 1.2885 | 700  | 2.8728          |
+| 2.894         | 1.3806 | 750  | 2.8727          |
+| 2.9286        | 1.4726 | 800  | 2.8727          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0
+- Datasets 3.0.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "nisten/Biggie-SmoLlm-0.15B-Base",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "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": 35,
+  "num_key_value_heads": 3,
+  "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": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.44.2"
+}

model.safetensors

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runs/Sep28_17-36-28_5b62026256e8/events.out.tfevents.1727544990.5b62026256e8.22.0

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training_args.bin

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