CrystalLM

Overview

This release marks a major milestone in the training stability and learning capacity of the model. With extended training (10 epochs) on a larger Chinese corpus, the model now demonstrates significantly improved convergence and basic text generation ability.

Loss Progression

The model shows a clear and healthy downward trend in loss:

Epoch	Loss
0	5.8614
1	4.9849
2	4.3866
3	3.8325
4	3.3136
5	2.8286
6	2.3916
7	1.9992
8	1.6587
9	1.3666

This indicates effective learning with no signs of divergence or early overfitting.

Improvements

• Substantial reduction in training loss across all epochs
• More stable token prediction behavior
• The model begins to reproduce sentence-like structures instead of random noise
• Improved handling of common vocabulary and punctuation

Known Limitations

• Generated text may still contain semantic incoherence
• Long-range context is not reliably preserved
• Occasional token repetition or malformed phrases
• Output quality varies depending on prompt length and structure

Model Status

• ✅ Training completed successfully
• ✅ Model checkpoint saved
• 🧪 Still in experimental / research phase

Next Steps

• Introduce sequence-aware architectures (e.g., RNN/LSTM or Transformer-style attention)
• Improve context window handling
• Expand and clean training data
• Add validation metrics beyond training loss
• Experiment with sampling strategies (temperature, top-k, top-p)

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📊 Training Snapshot

Prefix dict has been built successfully.
词数： 147719
训练文本总长度（字符数）：236696
训练文本总行数：979
训练文本独立字符数(vocab size)：3463
词表大小: 5602
epoch 0, loss 5.8614, [10:58:50]
epoch 1, loss 4.9849, [11:03:26]
epoch 2, loss 4.3866, [11:07:30]
epoch 3, loss 3.8325, [11:10:58]
epoch 4, loss 3.3136, [11:14:39]
epoch 5, loss 2.8286, [11:18:40]
epoch 6, loss 2.3916, [11:22:22]
epoch 7, loss 1.9992, [11:25:47]
epoch 8, loss 1.6587, [11:29:19]
epoch 9, loss 1.3666, [11:32:43]
✅ 模型已保存
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