Training in progress, step 64, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: nlplabtdtu/vilaw-sailor-1.8b
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.11.1

last-checkpoint/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "nlplabtdtu/vilaw-sailor-1.8b",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 256,
+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 128,
+  "rank_pattern": {},
+  "revision": "unsloth",
+  "target_modules": [
+    "down_proj",
+    "up_proj",
+    "gate_proj",
+    "o_proj",
+    "k_proj",
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": true
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1657bea7e3711fe73112f46b37ad81dd072c27d3679e4843c8c5dfba9939e763
+size 479769104

last-checkpoint/added_tokens.json

@@ -0,0 +1,5 @@
+{
+  "<|endoftext|>": 151643,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644
+}

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:64f4ef68d29795f2b1252086fc08f7c2ccbda6a64952b040012d5ad77283a2fd
+size 240728084

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:96200d4ca8dc27a2feac013eb62dd34ec99b5598bcdd66554ba3bfa0cfc0128f
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3535a115dd66ed576001ff6370d23c91e17d7f2564bf842d10adac987c704d2b
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,16 @@
+{
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,43 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": null,
+  "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "from_slow": true,
+  "legacy": false,
+  "model_max_length": 8192,
+  "pad_token": "<|endoftext|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,481 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.0041376746591671315,
+  "eval_steps": 500,
+  "global_step": 64,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 6.465116654948643e-05,
+      "grad_norm": 44.5714111328125,
+      "learning_rate": 6.451612903225807e-08,
+      "loss": 1.8854,
+      "step": 1
+    },
+    {
+      "epoch": 0.00012930233309897286,
+      "grad_norm": 46.1261100769043,
+      "learning_rate": 1.2903225806451614e-07,
+      "loss": 1.7711,
+      "step": 2
+    },
+    {
+      "epoch": 0.0001939534996484593,
+      "grad_norm": 45.18426513671875,
+      "learning_rate": 1.935483870967742e-07,
+      "loss": 1.9256,
+      "step": 3
+    },
+    {
+      "epoch": 0.0002586046661979457,
+      "grad_norm": 47.940818786621094,
+      "learning_rate": 2.580645161290323e-07,
+      "loss": 1.9478,
+      "step": 4
+    },
+    {
+      "epoch": 0.00032325583274743215,
+      "grad_norm": 45.84038543701172,
+      "learning_rate": 3.2258064516129035e-07,
+      "loss": 1.8893,
+      "step": 5
+    },
+    {
+      "epoch": 0.0003879069992969186,
+      "grad_norm": 32.852420806884766,
+      "learning_rate": 3.870967741935484e-07,
+      "loss": 1.8771,
+      "step": 6
+    },
+    {
+      "epoch": 0.000452558165846405,
+      "grad_norm": 25.209209442138672,
+      "learning_rate": 4.5161290322580644e-07,
+      "loss": 1.789,
+      "step": 7
+    },
+    {
+      "epoch": 0.0005172093323958914,
+      "grad_norm": 31.35649871826172,
+      "learning_rate": 5.161290322580646e-07,
+      "loss": 1.8533,
+      "step": 8
+    },
+    {
+      "epoch": 0.0005818604989453779,
+      "grad_norm": 22.7536563873291,
+      "learning_rate": 5.806451612903227e-07,
+      "loss": 1.8158,
+      "step": 9
+    },
+    {
+      "epoch": 0.0006465116654948643,
+      "grad_norm": 22.126646041870117,
+      "learning_rate": 6.451612903225807e-07,
+      "loss": 1.7773,
+      "step": 10
+    },
+    {
+      "epoch": 0.0007111628320443507,
+      "grad_norm": 21.2142333984375,
+      "learning_rate": 7.096774193548388e-07,
+      "loss": 1.7794,
+      "step": 11
+    },
+    {
+      "epoch": 0.0007758139985938372,
+      "grad_norm": 22.19904327392578,
+      "learning_rate": 7.741935483870968e-07,
+      "loss": 1.7064,
+      "step": 12
+    },
+    {
+      "epoch": 0.0008404651651433236,
+      "grad_norm": 18.595500946044922,
+      "learning_rate": 8.38709677419355e-07,
+      "loss": 1.7266,
+      "step": 13
+    },
+    {
+      "epoch": 0.00090511633169281,
+      "grad_norm": 21.46784782409668,
+      "learning_rate": 9.032258064516129e-07,
+      "loss": 1.8174,
+      "step": 14
+    },
+    {
+      "epoch": 0.0009697674982422964,
+      "grad_norm": 10.19611644744873,
+      "learning_rate": 9.67741935483871e-07,
+      "loss": 1.7402,
+      "step": 15
+    },
+    {
+      "epoch": 0.0010344186647917829,
+      "grad_norm": 29.891271591186523,
+      "learning_rate": 1.0322580645161291e-06,
+      "loss": 1.6173,
+      "step": 16
+    },
+    {
+      "epoch": 0.0010990698313412693,
+      "grad_norm": 26.360158920288086,
+      "learning_rate": 1.0967741935483872e-06,
+      "loss": 1.5965,
+      "step": 17
+    },
+    {
+      "epoch": 0.0011637209978907557,
+      "grad_norm": 18.997148513793945,
+      "learning_rate": 1.1612903225806454e-06,
+      "loss": 1.6904,
+      "step": 18
+    },
+    {
+      "epoch": 0.0012283721644402422,
+      "grad_norm": 9.296895980834961,
+      "learning_rate": 1.2258064516129033e-06,
+      "loss": 1.6981,
+      "step": 19
+    },
+    {
+      "epoch": 0.0012930233309897286,
+      "grad_norm": 11.152591705322266,
+      "learning_rate": 1.2903225806451614e-06,
+      "loss": 1.6168,
+      "step": 20
+    },
+    {
+      "epoch": 0.001357674497539215,
+      "grad_norm": 9.368199348449707,
+      "learning_rate": 1.3548387096774195e-06,
+      "loss": 1.5634,
+      "step": 21
+    },
+    {
+      "epoch": 0.0014223256640887015,
+      "grad_norm": 14.748392105102539,
+      "learning_rate": 1.4193548387096776e-06,
+      "loss": 1.6869,
+      "step": 22
+    },
+    {
+      "epoch": 0.0014869768306381879,
+      "grad_norm": 9.832632064819336,
+      "learning_rate": 1.4838709677419356e-06,
+      "loss": 1.5947,
+      "step": 23
+    },
+    {
+      "epoch": 0.0015516279971876743,
+      "grad_norm": 6.421623706817627,
+      "learning_rate": 1.5483870967741937e-06,
+      "loss": 1.6103,
+      "step": 24
+    },
+    {
+      "epoch": 0.0016162791637371607,
+      "grad_norm": 8.267382621765137,
+      "learning_rate": 1.6129032258064516e-06,
+      "loss": 1.7126,
+      "step": 25
+    },
+    {
+      "epoch": 0.0016809303302866472,
+      "grad_norm": 9.506085395812988,
+      "learning_rate": 1.67741935483871e-06,
+      "loss": 1.6964,
+      "step": 26
+    },
+    {
+      "epoch": 0.0017455814968361336,
+      "grad_norm": 7.275322437286377,
+      "learning_rate": 1.7419354838709678e-06,
+      "loss": 1.5162,
+      "step": 27
+    },
+    {
+      "epoch": 0.00181023266338562,
+      "grad_norm": 7.278182506561279,
+      "learning_rate": 1.8064516129032258e-06,
+      "loss": 1.6638,
+      "step": 28
+    },
+    {
+      "epoch": 0.0018748838299351065,
+      "grad_norm": 6.83089542388916,
+      "learning_rate": 1.870967741935484e-06,
+      "loss": 1.5643,
+      "step": 29
+    },
+    {
+      "epoch": 0.001939534996484593,
+      "grad_norm": 5.967474937438965,
+      "learning_rate": 1.935483870967742e-06,
+      "loss": 1.5349,
+      "step": 30
+    },
+    {
+      "epoch": 0.002004186163034079,
+      "grad_norm": 7.937897205352783,
+      "learning_rate": 2.0000000000000003e-06,
+      "loss": 1.5792,
+      "step": 31
+    },
+    {
+      "epoch": 0.0020688373295835658,
+      "grad_norm": 6.548009872436523,
+      "learning_rate": 2.0645161290322582e-06,
+      "loss": 1.5511,
+      "step": 32
+    },
+    {
+      "epoch": 0.002133488496133052,
+      "grad_norm": 4.620703220367432,
+      "learning_rate": 2.129032258064516e-06,
+      "loss": 1.5538,
+      "step": 33
+    },
+    {
+      "epoch": 0.0021981396626825386,
+      "grad_norm": 6.5690717697143555,
+      "learning_rate": 2.1935483870967745e-06,
+      "loss": 1.5863,
+      "step": 34
+    },
+    {
+      "epoch": 0.002262790829232025,
+      "grad_norm": 7.913364410400391,
+      "learning_rate": 2.2580645161290324e-06,
+      "loss": 1.6326,
+      "step": 35
+    },
+    {
+      "epoch": 0.0023274419957815115,
+      "grad_norm": 5.25803804397583,
+      "learning_rate": 2.3225806451612907e-06,
+      "loss": 1.5402,
+      "step": 36
+    },
+    {
+      "epoch": 0.0023920931623309977,
+      "grad_norm": 4.763177871704102,
+      "learning_rate": 2.3870967741935486e-06,
+      "loss": 1.4927,
+      "step": 37
+    },
+    {
+      "epoch": 0.0024567443288804843,
+      "grad_norm": 7.391345977783203,
+      "learning_rate": 2.4516129032258066e-06,
+      "loss": 1.4724,
+      "step": 38
+    },
+    {
+      "epoch": 0.0025213954954299705,
+      "grad_norm": 12.816652297973633,
+      "learning_rate": 2.5161290322580645e-06,
+      "loss": 1.4612,
+      "step": 39
+    },
+    {
+      "epoch": 0.002586046661979457,
+      "grad_norm": 7.836688041687012,
+      "learning_rate": 2.580645161290323e-06,
+      "loss": 1.52,
+      "step": 40
+    },
+    {
+      "epoch": 0.0026506978285289434,
+      "grad_norm": 5.6393327713012695,
+      "learning_rate": 2.645161290322581e-06,
+      "loss": 1.5113,
+      "step": 41
+    },
+    {
+      "epoch": 0.00271534899507843,
+      "grad_norm": 7.4961066246032715,
+      "learning_rate": 2.709677419354839e-06,
+      "loss": 1.5737,
+      "step": 42
+    },
+    {
+      "epoch": 0.0027800001616279163,
+      "grad_norm": 6.147555351257324,
+      "learning_rate": 2.774193548387097e-06,
+      "loss": 1.5071,
+      "step": 43
+    },
+    {
+      "epoch": 0.002844651328177403,
+      "grad_norm": 5.245474338531494,
+      "learning_rate": 2.8387096774193553e-06,
+      "loss": 1.465,
+      "step": 44
+    },
+    {
+      "epoch": 0.002909302494726889,
+      "grad_norm": 7.021216869354248,
+      "learning_rate": 2.903225806451613e-06,
+      "loss": 1.5516,
+      "step": 45
+    },
+    {
+      "epoch": 0.0029739536612763758,
+      "grad_norm": 5.389495372772217,
+      "learning_rate": 2.967741935483871e-06,
+      "loss": 1.5351,
+      "step": 46
+    },
+    {
+      "epoch": 0.003038604827825862,
+      "grad_norm": 5.315834999084473,
+      "learning_rate": 3.0322580645161295e-06,
+      "loss": 1.4845,
+      "step": 47
+    },
+    {
+      "epoch": 0.0031032559943753486,
+      "grad_norm": 4.720651626586914,
+      "learning_rate": 3.0967741935483874e-06,
+      "loss": 1.4587,
+      "step": 48
+    },
+    {
+      "epoch": 0.003167907160924835,
+      "grad_norm": 6.820028781890869,
+      "learning_rate": 3.1612903225806453e-06,
+      "loss": 1.4637,
+      "step": 49
+    },
+    {
+      "epoch": 0.0032325583274743215,
+      "grad_norm": 4.662110805511475,
+      "learning_rate": 3.225806451612903e-06,
+      "loss": 1.4479,
+      "step": 50
+    },
+    {
+      "epoch": 0.0032972094940238077,
+      "grad_norm": 5.173562526702881,
+      "learning_rate": 3.2903225806451615e-06,
+      "loss": 1.4177,
+      "step": 51
+    },
+    {
+      "epoch": 0.0033618606605732944,
+      "grad_norm": 5.80686616897583,
+      "learning_rate": 3.35483870967742e-06,
+      "loss": 1.4924,
+      "step": 52
+    },
+    {
+      "epoch": 0.0034265118271227806,
+      "grad_norm": 4.645594120025635,
+      "learning_rate": 3.4193548387096773e-06,
+      "loss": 1.4944,
+      "step": 53
+    },
+    {
+      "epoch": 0.003491162993672267,
+      "grad_norm": 4.676243782043457,
+      "learning_rate": 3.4838709677419357e-06,
+      "loss": 1.3757,
+      "step": 54
+    },
+    {
+      "epoch": 0.0035558141602217534,
+      "grad_norm": 4.977828025817871,
+      "learning_rate": 3.548387096774194e-06,
+      "loss": 1.5621,
+      "step": 55
+    },
+    {
+      "epoch": 0.00362046532677124,
+      "grad_norm": 4.857687473297119,
+      "learning_rate": 3.6129032258064515e-06,
+      "loss": 1.4727,
+      "step": 56
+    },
+    {
+      "epoch": 0.0036851164933207263,
+      "grad_norm": 4.621184825897217,
+      "learning_rate": 3.67741935483871e-06,
+      "loss": 1.4911,
+      "step": 57
+    },
+    {
+      "epoch": 0.003749767659870213,
+      "grad_norm": 4.505675315856934,
+      "learning_rate": 3.741935483870968e-06,
+      "loss": 1.5111,
+      "step": 58
+    },
+    {
+      "epoch": 0.003814418826419699,
+      "grad_norm": 4.7875142097473145,
+      "learning_rate": 3.8064516129032257e-06,
+      "loss": 1.4129,
+      "step": 59
+    },
+    {
+      "epoch": 0.003879069992969186,
+      "grad_norm": 4.340310573577881,
+      "learning_rate": 3.870967741935484e-06,
+      "loss": 1.5327,
+      "step": 60
+    },
+    {
+      "epoch": 0.0039437211595186724,
+      "grad_norm": 4.482486724853516,
+      "learning_rate": 3.935483870967742e-06,
+      "loss": 1.4221,
+      "step": 61
+    },
+    {
+      "epoch": 0.004008372326068158,
+      "grad_norm": 5.257370471954346,
+      "learning_rate": 4.000000000000001e-06,
+      "loss": 1.4415,
+      "step": 62
+    },
+    {
+      "epoch": 0.004073023492617645,
+      "grad_norm": 5.686576843261719,
+      "learning_rate": 4.064516129032259e-06,
+      "loss": 1.456,
+      "step": 63
+    },
+    {
+      "epoch": 0.0041376746591671315,
+      "grad_norm": 5.043213367462158,
+      "learning_rate": 4.1290322580645165e-06,
+      "loss": 1.4762,
+      "step": 64
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 15467,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 16,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 5.725127534144717e+16,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e15701f19e5859ab08c99be4fa0ba04ebf0514b1bb2316c701fcbdbfdfac5928
+size 5112