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ninagroot/Llama-360Mtest

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README.md CHANGED
@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.9655
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  ## Model description
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@@ -48,24 +48,25 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 0.89 | 2 | 8.5679 |
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- | No log | 1.78 | 4 | 8.5182 |
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- | No log | 2.67 | 6 | 8.4304 |
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- | No log | 4.0 | 9 | 8.2278 |
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- | No log | 4.89 | 11 | 8.0473 |
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- | No log | 5.78 | 13 | 7.8459 |
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- | No log | 6.67 | 15 | 7.6372 |
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- | No log | 8.0 | 18 | 7.3787 |
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- | 7.9918 | 8.89 | 20 | 7.1956 |
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- | 7.9918 | 9.78 | 22 | 7.0644 |
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- | 7.9918 | 10.67 | 24 | 6.9150 |
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- | 7.9918 | 12.0 | 27 | 6.7280 |
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- | 7.9918 | 12.89 | 29 | 6.5960 |
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- | 7.9918 | 13.78 | 31 | 6.4792 |
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- | 7.9918 | 14.67 | 33 | 6.3487 |
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- | 7.9918 | 16.0 | 36 | 6.1616 |
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- | 7.9918 | 16.89 | 38 | 6.0606 |
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- | 6.3677 | 17.78 | 40 | 5.9655 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 7.3725
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 0.94 | 2 | 11.0486 |
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+ | No log | 1.88 | 4 | 10.9834 |
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+ | No log | 2.82 | 6 | 10.8679 |
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+ | No log | 3.76 | 8 | 10.7046 |
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+ | No log | 4.71 | 10 | 10.4956 |
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+ | No log | 5.65 | 12 | 10.2361 |
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+ | No log | 6.59 | 14 | 9.9249 |
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+ | No log | 8.0 | 17 | 9.4434 |
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+ | No log | 8.94 | 19 | 9.1960 |
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+ | 10.3432 | 9.88 | 21 | 8.9986 |
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+ | 10.3432 | 10.82 | 23 | 8.8144 |
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+ | 10.3432 | 11.76 | 25 | 8.6667 |
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+ | 10.3432 | 12.71 | 27 | 8.5072 |
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+ | 10.3432 | 13.65 | 29 | 8.3409 |
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+ | 10.3432 | 14.59 | 31 | 8.1751 |
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+ | 10.3432 | 16.0 | 34 | 7.8970 |
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+ | 10.3432 | 16.94 | 36 | 7.6996 |
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+ | 10.3432 | 17.88 | 38 | 7.5270 |
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+ | 8.1799 | 18.82 | 40 | 7.3725 |
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  ### Framework versions
config.json CHANGED
@@ -15,7 +15,7 @@
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  "num_attention_heads": 8,
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  "num_hidden_layers": 24,
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  "num_key_value_heads": 8,
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- "pad_token_id": 0,
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  "pretraining_tp": 1,
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  "rms_norm_eps": 1e-06,
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  "rope_scaling": null,
@@ -24,5 +24,5 @@
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  "torch_dtype": "float32",
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  "transformers_version": "4.37.2",
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  "use_cache": true,
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- "vocab_size": 4312
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  }
 
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  "num_attention_heads": 8,
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  "num_hidden_layers": 24,
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  "num_key_value_heads": 8,
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  "pretraining_tp": 1,
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  "rms_norm_eps": 1e-06,
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  "rope_scaling": null,
 
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  "torch_dtype": "float32",
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  "transformers_version": "4.37.2",
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  "use_cache": true,
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  }
generation_config.json CHANGED
@@ -2,6 +2,6 @@
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