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nlpguy
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amdchess-v7

Text Generation
Transformers
Safetensors
llama
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
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End of training

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Files changed (9) hide show
  1. README.md +141 -0
  2. config.json +30 -0
  3. generation_config.json +7 -0
  4. model.safetensors +3 -0
  5. special_tokens_map.json +24 -0
  6. tokenizer.json +0 -0
  7. tokenizer.model +3 -0
  8. tokenizer_config.json +42 -0
  9. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: amd/AMD-Llama-135m
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: amdchess-v7
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # amdchess-v7
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+
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+ This model is a fine-tuned version of [amd/AMD-Llama-135m](https://huggingface.co/amd/AMD-Llama-135m) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7964
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.GROKADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - num_epochs: 0.25
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 6.2092 | 0.0030 | 5 | 5.2057 |
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+ | 1.9922 | 0.0059 | 10 | 1.8157 |
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+ | 1.7403 | 0.0089 | 15 | 1.6004 |
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+ | 1.3742 | 0.0118 | 20 | 1.3543 |
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+ | 1.3517 | 0.0148 | 25 | 1.2096 |
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+ | 1.215 | 0.0177 | 30 | 1.1421 |
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+ | 1.2121 | 0.0207 | 35 | 1.1437 |
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+ | 1.097 | 0.0236 | 40 | 1.0869 |
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+ | 1.1186 | 0.0266 | 45 | 1.0722 |
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+ | 1.0991 | 0.0295 | 50 | 1.0526 |
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+ | 0.9758 | 0.0325 | 55 | 1.0194 |
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+ | 0.9827 | 0.0354 | 60 | 1.0219 |
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+ | 1.0428 | 0.0384 | 65 | 0.9899 |
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+ | 0.9846 | 0.0413 | 70 | 1.0065 |
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+ | 0.996 | 0.0443 | 75 | 0.9968 |
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+ | 0.9908 | 0.0472 | 80 | 0.9694 |
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+ | 1.0172 | 0.0502 | 85 | 0.9688 |
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+ | 0.9956 | 0.0531 | 90 | 0.9557 |
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+ | 0.9629 | 0.0561 | 95 | 0.9466 |
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+ | 1.0187 | 0.0590 | 100 | 0.9421 |
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+ | 0.9079 | 0.0620 | 105 | 0.9248 |
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+ | 0.8152 | 0.0649 | 110 | 0.9273 |
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+ | 0.953 | 0.0679 | 115 | 0.9179 |
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+ | 0.9545 | 0.0708 | 120 | 0.9109 |
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+ | 0.8649 | 0.0738 | 125 | 0.9023 |
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+ | 0.9308 | 0.0767 | 130 | 0.8915 |
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+ | 0.9197 | 0.0797 | 135 | 0.8992 |
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+ | 0.9684 | 0.0826 | 140 | 0.8931 |
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+ | 0.9329 | 0.0856 | 145 | 0.8973 |
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+ | 0.8679 | 0.0885 | 150 | 0.8864 |
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+ | 0.8754 | 0.0915 | 155 | 0.8890 |
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+ | 0.8532 | 0.0945 | 160 | 0.8793 |
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+ | 0.8818 | 0.0974 | 165 | 0.8777 |
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+ | 0.9161 | 0.1004 | 170 | 0.8765 |
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+ | 0.7303 | 0.1033 | 175 | 0.8744 |
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+ | 0.9087 | 0.1063 | 180 | 0.8697 |
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+ | 0.884 | 0.1092 | 185 | 0.8648 |
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+ | 0.9259 | 0.1122 | 190 | 0.8589 |
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+ | 0.866 | 0.1151 | 195 | 0.8574 |
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+ | 0.8716 | 0.1181 | 200 | 0.8517 |
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+ | 0.8068 | 0.1210 | 205 | 0.8488 |
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+ | 0.8382 | 0.1240 | 210 | 0.8478 |
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+ | 0.8372 | 0.1269 | 215 | 0.8462 |
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+ | 0.8477 | 0.1299 | 220 | 0.8433 |
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+ | 0.838 | 0.1328 | 225 | 0.8425 |
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+ | 0.8585 | 0.1358 | 230 | 0.8403 |
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+ | 0.892 | 0.1387 | 235 | 0.8378 |
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+ | 0.8794 | 0.1417 | 240 | 0.8360 |
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+ | 0.8468 | 0.1446 | 245 | 0.8321 |
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+ | 0.8417 | 0.1476 | 250 | 0.8305 |
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+ | 0.8785 | 0.1505 | 255 | 0.8267 |
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+ | 0.9016 | 0.1535 | 260 | 0.8258 |
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+ | 0.86 | 0.1564 | 265 | 0.8243 |
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+ | 0.8777 | 0.1594 | 270 | 0.8214 |
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+ | 0.6465 | 0.1623 | 275 | 0.8210 |
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+ | 0.7967 | 0.1653 | 280 | 0.8186 |
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+ | 0.774 | 0.1682 | 285 | 0.8173 |
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+ | 0.7545 | 0.1712 | 290 | 0.8162 |
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+ | 0.8684 | 0.1741 | 295 | 0.8147 |
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+ | 0.7596 | 0.1771 | 300 | 0.8132 |
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+ | 0.8279 | 0.1800 | 305 | 0.8108 |
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+ | 0.7538 | 0.1830 | 310 | 0.8087 |
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+ | 0.848 | 0.1860 | 315 | 0.8075 |
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+ | 0.8526 | 0.1889 | 320 | 0.8064 |
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+ | 0.8053 | 0.1919 | 325 | 0.8057 |
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+ | 0.8598 | 0.1948 | 330 | 0.8040 |
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+ | 0.8076 | 0.1978 | 335 | 0.8026 |
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+ | 0.7292 | 0.2007 | 340 | 0.8028 |
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+ | 0.8058 | 0.2037 | 345 | 0.8015 |
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+ | 0.8 | 0.2066 | 350 | 0.8003 |
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+ | 0.8038 | 0.2096 | 355 | 0.8002 |
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+ | 0.7639 | 0.2125 | 360 | 0.7998 |
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+ | 0.7838 | 0.2155 | 365 | 0.7991 |
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+ | 0.8139 | 0.2184 | 370 | 0.7986 |
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+ | 0.844 | 0.2214 | 375 | 0.7982 |
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+ | 0.7417 | 0.2243 | 380 | 0.7978 |
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+ | 0.7987 | 0.2273 | 385 | 0.7975 |
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+ | 0.8319 | 0.2302 | 390 | 0.7971 |
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+ | 0.7383 | 0.2332 | 395 | 0.7968 |
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+ | 0.7886 | 0.2361 | 400 | 0.7966 |
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+ | 0.8127 | 0.2391 | 405 | 0.7965 |
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+ | 0.8213 | 0.2420 | 410 | 0.7964 |
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+ | 0.7952 | 0.2450 | 415 | 0.7964 |
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+ | 0.8518 | 0.2479 | 420 | 0.7964 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.0
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+ - Pytorch 2.4.0+cu121
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+ - Datasets 3.0.2
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+ - Tokenizers 0.20.1
config.json ADDED
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+ {
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+ "_name_or_path": "amd/AMD-Llama-135m",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ "hidden_act": "silu",
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 2048,
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+ "max_position_embeddings": 2048,
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+ "mlp_bias": false,
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+ "model_type": "llama",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pretraining_tp": 1,
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+ "transformers_version": "4.46.0",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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