End of training

README.md

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+---
+library_name: transformers
+base_model: Ellio98/mistral-0.5B-base
+tags:
+- generated_from_trainer
+model-index:
+- name: mistral-0.5B-Instruct-v0.1
+  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. -->
+
+# mistral-0.5B-Instruct-v0.1
+
+This model is a fine-tuned version of [Ellio98/mistral-0.5B-base](https://huggingface.co/Ellio98/mistral-0.5B-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+
+## 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: 0.0005
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.0           | 0.1000 | 125  | nan             |
+| 0.0           | 0.2000 | 250  | nan             |
+| 0.0           | 0.2999 | 375  | nan             |
+| 0.0           | 0.3999 | 500  | nan             |
+| 0.0           | 0.4999 | 625  | nan             |
+| 0.0           | 0.5999 | 750  | nan             |
+| 0.0           | 0.6999 | 875  | nan             |
+| 0.0           | 0.7998 | 1000 | nan             |
+| 0.0           | 0.8998 | 1125 | nan             |
+| 0.0           | 0.9998 | 1250 | nan             |
+
+
+### Framework versions
+
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.3.1
+- Tokenizers 0.21.0

config.json

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+{
+  "_name_or_path": "Ellio98/mistral-0.5B-base",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attn_logit_softcapping": 50.0,
+  "bos_token_id": 1,
+  "cache_implementation": "hybrid",
+  "eos_token_id": 2,
+  "final_logit_softcapping": 30.0,
+  "head_dim": 192,
+  "hidden_act": "silu",
+  "hidden_activation": "gelu_pytorch_tanh",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "max_position_embeddings": 2048,
+  "model_type": "mistral",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 4,
+  "query_pre_attn_scalar": 256,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.47.0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "cache_implementation": "hybrid",
+  "eos_token_id": 2,
+  "transformers_version": "4.47.0"
+}

model.safetensors

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+size 2054379856

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "</s>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

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+size 587404

training_args.bin

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