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Model: Josephgflowers/TinyLlama-v1.1-Tiny-Agent-Test
Source: Original Platform

.gitattributes

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README.md

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+---
+license: apache-2.0
+base_model: TinyLlama/TinyLlama_v1.1_math_code
+tags:
+- generated_from_trainer
+model-index:
+- name: TinyLlama-v1.1-Tiny-Agent-Test
+  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. -->
+
+# TinyLlama-v1.1-Tiny-Agent-Test
+
+This model is a fine-tuned version of [TinyLlama/TinyLlama_v1.1_math_code](https://huggingface.co/TinyLlama/TinyLlama_v1.1_math_code) on an unknown dataset.
+
+## 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: 14
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 56
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.42.0.dev0
+- Pytorch 2.2.2+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 0.9987515605493134,
+    "total_flos": 2.847507751108608e+17,
+    "train_loss": 2.1486885741353037,
+    "train_runtime": 92894.5901,
+    "train_samples": 22417,
+    "train_samples_per_second": 0.241,
+    "train_steps_per_second": 0.004
+}

config.json

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+{
+  "_name_or_path": "TinyLlama/TinyLlama_v1.1_math_code",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 5632,
+  "max_position_embeddings": 2048,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 22,
+  "num_key_value_heads": 4,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+{
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "max_length": 2048,
+  "pad_token_id": 0,
+  "transformers_version": "4.42.0.dev0"
+}

model.safetensors

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special_tokens_map.json

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+    "content": "<s>",
+    "lstrip": false,
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+    "rstrip": false,
+    "single_word": false
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tokenizer.json

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tokenizer_config.json

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+  "added_tokens_decoder": {
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+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

train_results.json

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+{
+    "epoch": 0.9987515605493134,
+    "total_flos": 2.847507751108608e+17,
+    "train_loss": 2.1486885741353037,
+    "train_runtime": 92894.5901,
+    "train_samples": 22417,
+    "train_samples_per_second": 0.241,
+    "train_steps_per_second": 0.004
+}

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