Training in progress, step 50, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: fxmarty/tiny-llama-fast-tokenizer
+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 0.13.2

last-checkpoint/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "fxmarty/tiny-llama-fast-tokenizer",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 128,
+  "lora_dropout": 0.04,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "q_proj",
+    "gate_proj",
+    "o_proj",
+    "down_proj",
+    "v_proj",
+    "up_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:abcf73be8d9ce8bb6bcd0feafd945b3bb0c3a3f5feab48c0ac69bf167587214c
+size 191968

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8e447f869a425ab946a28dcfaf6e17bf06681a0f6f6cae769a1de963446432ad
+size 253144

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e9d2e159120f42aba21b111feb82625e779c446790327f077b292a979a374297
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:947b4b7e8b578cfa0f90060cb87e8d28c0e6be86b5cadcb00b9f65c8cbebcbb8
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,42 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 2048,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,408 @@
+{
+  "best_metric": 10.351482391357422,
+  "best_model_checkpoint": "miner_id_24/checkpoint-50",
+  "epoch": 0.0846740050804403,
+  "eval_steps": 50,
+  "global_step": 50,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.001693480101608806,
+      "grad_norm": 0.05767215043306351,
+      "learning_rate": 7e-06,
+      "loss": 10.3761,
+      "step": 1
+    },
+    {
+      "epoch": 0.001693480101608806,
+      "eval_loss": 10.376470565795898,
+      "eval_runtime": 2.2633,
+      "eval_samples_per_second": 439.62,
+      "eval_steps_per_second": 110.016,
+      "step": 1
+    },
+    {
+      "epoch": 0.003386960203217612,
+      "grad_norm": 0.05682261288166046,
+      "learning_rate": 1.4e-05,
+      "loss": 10.3756,
+      "step": 2
+    },
+    {
+      "epoch": 0.005080440304826418,
+      "grad_norm": 0.05533347651362419,
+      "learning_rate": 2.1e-05,
+      "loss": 10.3759,
+      "step": 3
+    },
+    {
+      "epoch": 0.006773920406435224,
+      "grad_norm": 0.06400913745164871,
+      "learning_rate": 2.8e-05,
+      "loss": 10.3753,
+      "step": 4
+    },
+    {
+      "epoch": 0.00846740050804403,
+      "grad_norm": 0.06217538192868233,
+      "learning_rate": 3.5e-05,
+      "loss": 10.3766,
+      "step": 5
+    },
+    {
+      "epoch": 0.010160880609652836,
+      "grad_norm": 0.059953831136226654,
+      "learning_rate": 4.2e-05,
+      "loss": 10.3753,
+      "step": 6
+    },
+    {
+      "epoch": 0.011854360711261643,
+      "grad_norm": 0.06322812288999557,
+      "learning_rate": 4.899999999999999e-05,
+      "loss": 10.3751,
+      "step": 7
+    },
+    {
+      "epoch": 0.013547840812870448,
+      "grad_norm": 0.06448973715305328,
+      "learning_rate": 5.6e-05,
+      "loss": 10.3755,
+      "step": 8
+    },
+    {
+      "epoch": 0.015241320914479255,
+      "grad_norm": 0.06553128361701965,
+      "learning_rate": 6.3e-05,
+      "loss": 10.3754,
+      "step": 9
+    },
+    {
+      "epoch": 0.01693480101608806,
+      "grad_norm": 0.06717841327190399,
+      "learning_rate": 7e-05,
+      "loss": 10.3749,
+      "step": 10
+    },
+    {
+      "epoch": 0.018628281117696866,
+      "grad_norm": 0.06435838341712952,
+      "learning_rate": 6.999521567473641e-05,
+      "loss": 10.3753,
+      "step": 11
+    },
+    {
+      "epoch": 0.02032176121930567,
+      "grad_norm": 0.06390493363142014,
+      "learning_rate": 6.998086400693241e-05,
+      "loss": 10.3744,
+      "step": 12
+    },
+    {
+      "epoch": 0.02201524132091448,
+      "grad_norm": 0.06731149554252625,
+      "learning_rate": 6.995694892019065e-05,
+      "loss": 10.3745,
+      "step": 13
+    },
+    {
+      "epoch": 0.023708721422523286,
+      "grad_norm": 0.08515335619449615,
+      "learning_rate": 6.99234769526571e-05,
+      "loss": 10.3737,
+      "step": 14
+    },
+    {
+      "epoch": 0.02540220152413209,
+      "grad_norm": 0.08068357408046722,
+      "learning_rate": 6.988045725523343e-05,
+      "loss": 10.3727,
+      "step": 15
+    },
+    {
+      "epoch": 0.027095681625740897,
+      "grad_norm": 0.08304785192012787,
+      "learning_rate": 6.982790158907539e-05,
+      "loss": 10.3722,
+      "step": 16
+    },
+    {
+      "epoch": 0.028789161727349702,
+      "grad_norm": 0.08605454862117767,
+      "learning_rate": 6.976582432237733e-05,
+      "loss": 10.3725,
+      "step": 17
+    },
+    {
+      "epoch": 0.03048264182895851,
+      "grad_norm": 0.0890476256608963,
+      "learning_rate": 6.969424242644413e-05,
+      "loss": 10.3728,
+      "step": 18
+    },
+    {
+      "epoch": 0.03217612193056731,
+      "grad_norm": 0.09603014588356018,
+      "learning_rate": 6.961317547105138e-05,
+      "loss": 10.3707,
+      "step": 19
+    },
+    {
+      "epoch": 0.03386960203217612,
+      "grad_norm": 0.09333094954490662,
+      "learning_rate": 6.952264561909527e-05,
+      "loss": 10.3714,
+      "step": 20
+    },
+    {
+      "epoch": 0.03556308213378493,
+      "grad_norm": 0.11809182167053223,
+      "learning_rate": 6.942267762053337e-05,
+      "loss": 10.3699,
+      "step": 21
+    },
+    {
+      "epoch": 0.03725656223539373,
+      "grad_norm": 0.12310867756605148,
+      "learning_rate": 6.931329880561832e-05,
+      "loss": 10.3696,
+      "step": 22
+    },
+    {
+      "epoch": 0.03895004233700254,
+      "grad_norm": 0.12797869741916656,
+      "learning_rate": 6.919453907742597e-05,
+      "loss": 10.3694,
+      "step": 23
+    },
+    {
+      "epoch": 0.04064352243861134,
+      "grad_norm": 0.14211532473564148,
+      "learning_rate": 6.90664309036802e-05,
+      "loss": 10.3684,
+      "step": 24
+    },
+    {
+      "epoch": 0.04233700254022015,
+      "grad_norm": 0.13544224202632904,
+      "learning_rate": 6.892900930787656e-05,
+      "loss": 10.3687,
+      "step": 25
+    },
+    {
+      "epoch": 0.04403048264182896,
+      "grad_norm": 0.15587803721427917,
+      "learning_rate": 6.87823118597072e-05,
+      "loss": 10.3667,
+      "step": 26
+    },
+    {
+      "epoch": 0.04572396274343776,
+      "grad_norm": 0.15392404794692993,
+      "learning_rate": 6.862637866478969e-05,
+      "loss": 10.3679,
+      "step": 27
+    },
+    {
+      "epoch": 0.04741744284504657,
+      "grad_norm": 0.15195734798908234,
+      "learning_rate": 6.846125235370252e-05,
+      "loss": 10.3674,
+      "step": 28
+    },
+    {
+      "epoch": 0.04911092294665537,
+      "grad_norm": 0.1591203212738037,
+      "learning_rate": 6.828697807033038e-05,
+      "loss": 10.3646,
+      "step": 29
+    },
+    {
+      "epoch": 0.05080440304826418,
+      "grad_norm": 0.17264410853385925,
+      "learning_rate": 6.81036034595222e-05,
+      "loss": 10.3642,
+      "step": 30
+    },
+    {
+      "epoch": 0.05249788314987299,
+      "grad_norm": 0.1709284484386444,
+      "learning_rate": 6.791117865406564e-05,
+      "loss": 10.3635,
+      "step": 31
+    },
+    {
+      "epoch": 0.05419136325148179,
+      "grad_norm": 0.17630036175251007,
+      "learning_rate": 6.770975626098112e-05,
+      "loss": 10.365,
+      "step": 32
+    },
+    {
+      "epoch": 0.0558848433530906,
+      "grad_norm": 0.1866825520992279,
+      "learning_rate": 6.749939134713974e-05,
+      "loss": 10.3628,
+      "step": 33
+    },
+    {
+      "epoch": 0.057578323454699404,
+      "grad_norm": 0.17809787392616272,
+      "learning_rate": 6.728014142420846e-05,
+      "loss": 10.3629,
+      "step": 34
+    },
+    {
+      "epoch": 0.05927180355630821,
+      "grad_norm": 0.20281663537025452,
+      "learning_rate": 6.7052066432927e-05,
+      "loss": 10.3578,
+      "step": 35
+    },
+    {
+      "epoch": 0.06096528365791702,
+      "grad_norm": 0.19204723834991455,
+      "learning_rate": 6.681522872672069e-05,
+      "loss": 10.3585,
+      "step": 36
+    },
+    {
+      "epoch": 0.06265876375952582,
+      "grad_norm": 0.1810905933380127,
+      "learning_rate": 6.656969305465356e-05,
+      "loss": 10.3592,
+      "step": 37
+    },
+    {
+      "epoch": 0.06435224386113463,
+      "grad_norm": 0.19030340015888214,
+      "learning_rate": 6.631552654372672e-05,
+      "loss": 10.3601,
+      "step": 38
+    },
+    {
+      "epoch": 0.06604572396274344,
+      "grad_norm": 0.16998638212680817,
+      "learning_rate": 6.60527986805264e-05,
+      "loss": 10.3573,
+      "step": 39
+    },
+    {
+      "epoch": 0.06773920406435224,
+      "grad_norm": 0.1517295241355896,
+      "learning_rate": 6.578158129222711e-05,
+      "loss": 10.3549,
+      "step": 40
+    },
+    {
+      "epoch": 0.06943268416596104,
+      "grad_norm": 0.15249769389629364,
+      "learning_rate": 6.550194852695469e-05,
+      "loss": 10.3559,
+      "step": 41
+    },
+    {
+      "epoch": 0.07112616426756986,
+      "grad_norm": 0.15435636043548584,
+      "learning_rate": 6.521397683351509e-05,
+      "loss": 10.354,
+      "step": 42
+    },
+    {
+      "epoch": 0.07281964436917866,
+      "grad_norm": 0.14684386551380157,
+      "learning_rate": 6.491774494049386e-05,
+      "loss": 10.355,
+      "step": 43
+    },
+    {
+      "epoch": 0.07451312447078746,
+      "grad_norm": 0.15682685375213623,
+      "learning_rate": 6.461333383473272e-05,
+      "loss": 10.3522,
+      "step": 44
+    },
+    {
+      "epoch": 0.07620660457239628,
+      "grad_norm": 0.14739371836185455,
+      "learning_rate": 6.430082673918849e-05,
+      "loss": 10.3518,
+      "step": 45
+    },
+    {
+      "epoch": 0.07790008467400508,
+      "grad_norm": 0.14083759486675262,
+      "learning_rate": 6.398030909018069e-05,
+      "loss": 10.3527,
+      "step": 46
+    },
+    {
+      "epoch": 0.07959356477561388,
+      "grad_norm": 0.11909397691488266,
+      "learning_rate": 6.365186851403423e-05,
+      "loss": 10.3539,
+      "step": 47
+    },
+    {
+      "epoch": 0.08128704487722269,
+      "grad_norm": 0.11432235687971115,
+      "learning_rate": 6.331559480312315e-05,
+      "loss": 10.3531,
+      "step": 48
+    },
+    {
+      "epoch": 0.0829805249788315,
+      "grad_norm": 0.13134874403476715,
+      "learning_rate": 6.297157989132236e-05,
+      "loss": 10.3544,
+      "step": 49
+    },
+    {
+      "epoch": 0.0846740050804403,
+      "grad_norm": 0.19639384746551514,
+      "learning_rate": 6.261991782887377e-05,
+      "loss": 10.3542,
+      "step": 50
+    },
+    {
+      "epoch": 0.0846740050804403,
+      "eval_loss": 10.351482391357422,
+      "eval_runtime": 2.2614,
+      "eval_samples_per_second": 439.995,
+      "eval_steps_per_second": 110.109,
+      "step": 50
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 200,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 50,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 4,
+        "early_stopping_threshold": 0.0
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 5744859021312.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ee7ae465e94bef5f353bf3686b29899568d9ffe91a6d784ac7925e202b9d834
+size 6840